Codashop, ML Jobs in Usa

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking a Systems Architect, Edge AI/ML to help build and scale intelligent systems that deliver real-time insights, automation support, and customer value at the edge of industrial environments.

The Systems Architect, Edge AI/ML is responsible for defining and guiding the architecture for artificial intelligence and machine learning deployed on devices and edge platforms. This role ensures that AI/ML solutions are scalable, reliable, secure, and aligned with enterprise product and platform objectives.

The architect partners closely with product management, device and edge software teams, data and cloud teams, and digital solution leaders to translate business and customer requirements into robust AI/ML foundations that enable consistent behavior, efficient lifecycle management, and high-quality user experiences across industrial environments.

CORE RESPONSIBILITIES

• Define and maintain reference architectures, design patterns, and standards for deploying AI and ML models on edge devices and platforms.
• Establish common approaches for data ingestion, feature pipelines, model inference, performance optimization, and lifecycle management at the edge.
• Ensure architectural decisions support real-time operation, scalability, reliability, safety, and security.

• Drive the strategic use of AI and ML at the edge by establishing repeatable patterns for model development, deployment, monitoring, and update.
• Own a portion of the internal technology radar related to AI/ML, edge analytics, and sensing technologies.
• Foster a culture of responsible, ethical, and transparent AI practices aligned with cybersecurity, privacy, and safety requirements.

• Partner with product management and engineering teams to enable AI-driven capabilities such as condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
• Guide architectural decisions related to edge compute constraints, sensor integration, and real-time inference workloads.
• Promote reuse and consistency of AI/ML components across products and platforms.

• Define patterns for integration between edge AI/ML solutions, device software, hybrid mobile applications, and enterprise or cloud-based platforms.
• Ensure solutions support online, offline, and hybrid deployment models common in industrial environments.
• Promote interoperability with internal systems and approved third-party technologies.

• Define secure-by-design and safety-aligned principles for AI/ML model deployment and operation at the edge.
• Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
• Participate in architecture and design reviews to assess risk, resilience, and compliance.

• Collaborate across product management, device and edge software, data science, cloud platforms, manufacturing, service, and mobile application teams.
• Provide technical leadership, mentorship, and guidance to engineers and teams working with AI/ML technologies.
• Serve as a technical advisor in strategic customer conversations and enterprise implementations when appropriate.

• This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.

QUALIFICATIONS

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required; Master's degree preferred.
• 8+ years of experience delivering AI/ML-enabled solutions, with demonstrated experience deploying models in edge or resource-constrained environments.
• Experience with industrial, connected, or safety-critical systems preferred.

Knowledge / Skill Requirements

• Strong understanding of AI/ML architectures, model lifecycle management, and real-time inference at the edge.
• Experience designing systems that balance performance, accuracy, latency, and resource constraints.
• Ability to think systemically across sensors, devices, edge platforms, mobile applications, and cloud services.
• Strong communication skills and ability to influence cross-functional stakeholders.
• Familiarity with industrial automation, IoT ecosystems, or computer vision is a plus.

Leadership & Collaboration:

• Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
• Exceptional communicator across technical and non-technical audiences.
• Committed to data-driven decision-making and delivery excellence.

Why Join Rite-Hite Digital Solutions?

As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping how AI and machine learning are applied safely and effectively in real-world environments. Your work will help customers improve safety, productivity, and uptime through intelligent, edge-driven solutions that deliver measurable operational impact.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

About Us:

Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.

SUMMARY:

We are seeking a skilled and adaptable Junior AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.

Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).
• Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.
• Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights
• Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.
• Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).
• Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.
• Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.
• Other duties as assigned

REQUIRED TECHNICAL SKILLS:

• Proficiency in Python and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience applying NLP techniques to unstructured text
• Hands-on experience working with LLMs, including:
• Prompt design and iteration
• Using pre-trained models for classification or extraction tasks
• Foundational understanding of model fine-tuning, such as:
• Fine-tuning transformer models or LLMs for classification or information extraction
• Adapting existing training scripts or examples to new datasets
• Familiarity with model evaluation metrics (precision, recall, F1) and basic error analysis
• Experience working with labeled datasets and annotation outputs, including reviewing label quality
• Understanding of common ML problem types, including binary and multi-label classification
• Awareness of model bias, label noise, and false positives, with the ability to discuss tradeoffs and mitigation strategies
• Basic understanding of production ML workflows (versioning, reproducibility, monitoring concepts)

OTHER SKILLS and ABILITIES:

• Hands-on fine-tuning experience with LLMs (e.g., Hugging Face, OpenAI fine-tuning, Azure Foundry), even if limited to small-scale or academic projects
• Exposure to cloud ML platforms (Azure ML, AWS SageMaker, or GCP)
• Familiarity with RAG architectures and retrieval-based grounding
• Experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK)
• Introductory experience with weak supervision or noisy-label learning
• Interest in healthcare or biomedical NLP
• Curiosity about knowledge graphs, ontologies, or structured prediction
• Familiarity with secure data handling practices
• Willingness and ability to learn workflows for sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows

EXPERIENCE:

• Bachelor’s Degree in related field
• 1–2 years of experience in machine learning, applied NLP, or software engineering
• Demonstrated some experience training or fine-tuning ML models, not just using APIs
• Ability to collaborate with senior engineers and domain experts and incorporate feedback

BENEFITS:

• 401(k)
• Dental Insurance
• Health Insurance
• Life Insurance
• Vision Insurance
• Paid Time Off
• Free catered lunches

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives, and help shape how AI delivers real impact in drug discovery, we'd like to hear from you.

Position Overview

We are seeking an innovative and dynamic AI/ML Research Senior Scientist with a passion for leveraging AI/ML in antibody discovery and design to join our Large Molecule AI/ML team. This role will be part of a multidisciplinary team focused on integrating advanced computational methods with cutting-edge experimental strategies to drive breakthrough discoveries in large molecule therapeutics and deepen our understanding of disease biology. The ideal candidate will have a strong background in computational biology, machine learning, and structural modeling and specifically with the application of AI/ML in biologics discovery.

Key Responsibilities

• Develop and implement state-of-the-art AI/ML methodologies for de novo antibody design and discovery, including fine-tuning protein language models and generative protein design.
• Develop, implement, and deploy advanced machine learning algorithms for the multi-objective optimization of antibodies, antigens, ADCs, and other biologics.
• Build tools to incorporate data from integrated Design-Predict-Make-Confirm cycles with automated experimental platforms generating quality data at scale needed for project-specific and foundational models.
• Innovate, develop, and apply predictive models for protein design and developability engineering, utilizing large-scale NGS, in vitro, in vivo and other proprietary in-house and external data sources.
• Manage and process large-scale biological datasets for model training and evaluation
• Stay abreast of advancements in NLP, ML, and generative AI to build novel tools that enhance therapeutic discovery and development.
• Collaborate with internal experts to optimize the computational discovery infrastructure, offering both individual and team-based innovative solutions.
• Communicate complex scientific ideas effectively to both technical and non-technical audiences, fostering collaboration across multidisciplinary teams.

Qualifications

• PhD degree in a scientific discipline (or equivalent) with 2+ years relevant experience, or MS with 8+ years relevant experience, or BS with 10+ years relevant experience
• Proven track record in developing machine learning models for chemical and biological data, including AI/ML-enabled molecular generation and affinity prediction.
• Demonstrated experience in modeling antibody/ antigen sequence, structure and interaction.
• Proficiency in programming languages such as Python and experience with cloud computing capabilities.
• Strong analytical and problem-solving skills, with demonstrated creativity and the ability to contribute individually and collaboratively.
• Versatile communicator who can elucidate complex ideas to non-specialists and commitment to continuous improvement and innovation.
• Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of uncertainty and change.
• Strong problem-solving aptitude and strategic thinking with an entrepreneurial mindset.

Preferred Qualifications & Skills:

• Experience developing or applying modern ML architectures for antibody design models (LLMs, diffusion models, flow-matching, Bayesian Optimization, GNNs, etc.)
• Experience designing de novo binders for specified targets and epitopes
• Experience analyzing NGS-derived antibody repertoires for sequence- and structure-based design
• Experience with molecular simulation and conformational analysis techniques

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

We are hiring an MLS Data Compliance and Support Specialist to work on-site at our Melbourne office. This role is essential to maintaining the accuracy and integrity of our MLS data and ensuring compliance with Association rules. You’ll provide direct support to members, monitor listings, and help enforce MLS policies.

Key Responsibilities

• Monitor MLS listings for rule compliance and data accuracy
• Investigate and resolve listing violations and discrepancies
• Provide in-person and phone/email support to members regarding MLS usage
• Assist with MLS system onboarding
• Collaborate with staff and vendors to troubleshoot technical issues
• Generate reports to support compliance and operational efficiency
• Stay informed on MLS policy updates and system enhancements

Qualifications

• Strong attention to detail and organizational skills
• Excellent communication and customer service abilities
• Familiarity with MLS platforms and real estate data systems (preferred)
• Ability to interpret and enforce rules with professionalism
• Proficiency in Microsoft Office and data tools
• Must not hold an active real estate license
• Ability to work well with others in a team environment.
• Ability to Multi-task and successfully problem solve.
• Ability to walk, stand, sit, view/enter data for long periods of time.
• Must be able to lift and carry supplies weighing up to 20 lbs.
• This is not a remote or work from home position.

What We Offer

• A collaborative and mission-driven work environment
• Competitive salary and benefits
• A chance to make a meaningful impact in the local real estate community

This is not a remote or work-from-home position. No relocation expenses provided. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

• 
  
• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
  
• Production GenAI & LLM model inference stack for emerging use cases.
  
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
  
• Feature fetching, caching, and logging
  

What you'll do

• 
  
• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
  
• Set technical direction for the team based on company and org priorities
  
• Coach and develop talent on the team.
  

What we're looking for:

• 
  
• Experience managing platform engineering teams with many cross-organizational customers
  
• Experience leading the development of large-scale distributed serving systems
  
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
  
• Bachelor's degree in Computer Science, a related field or equivalent experience.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Role Summary

Lead the strategy, platform build-out, and adoption of AI/ML across Research for global digital transformation effort, making AI agents, models, and tools a daily, accessible part of wet‐lab and dry‐lab scientists' workflows. Translate AF priorities into a practical, compliant AI services layer—data foundations, MLOps, agentic assistants, model governance, and change enablement—that shortens time from experiment to insight and elevates decision quality across discovery programs.

Objectives / Purpose

• Define and execute a multi‐year AI/ML roadmap aligned to Research use cases and KPIs.
• Establish an AI‐ready data foundation (FAIR-by-design) and scientist‐facing AI tools embedded in ELN/LIMS/instrument workflows.
• Institutionalize Responsible AI & GxP-aware governance for production models.
• Drive adoption through super-user networks, training, and change management to achieve measurable value and ROI.

Scope / Impact

Global Research scope with cross‐site collaboration (US/EU/JP). Direct impact on data-to-decision latency, assay/analysis reproducibility, and portfolio productivity. Partner with operations, Computational Sciences & Data Strategy, IT, function leads, and platform teams to deliver outcomes at scale.

Accountabilities

Strategy & Roadmap

• Own Research's AI/ML strategy and sequencing (MVP → scale) across wet‐lab dry‐lab integration and self‐service tools.
• Align priorities with Research's KPIs and portfolio goals; establish and monitor achievement of success criteria and milestones.

Platform, Data & Integration

• Guide the development of AI‐ready data foundations (provenance, metadata/ontologies, harmonization) across ELN/LIMS, instruments, imaging, and omics.
• Integrate platforms (e.g., ELN, SDMS & AI Cloud) to liberate, contextualize, and operationalize lab data for AI/ML.
• Stand up modern MLOps (CI/CD, registries, experiment tracking, monitoring) and secure service/APIs embedded in workflows.

Agentic AI & Productization

• Design self-service and user-friendly processes for deployment of AI agents for scientists (literature triage, protocol assist, data QC, analysis pipelines, code helpers).
• Guide engineering efforts to deliver production models (e.g., sequence/structure prediction, assay QC, outlier detection, multimodal analytics).

Adoption & Change Enablement

• Lead adoption via super‐user networks, training, and communications; co‐own readiness plans with NCSP.
• Work with Change Management leads to publish playbooks and guardrails enabling self‐service AI workflows for scientists.

Governance, Risk & Compliance

• Define and Implement Responsible AI and risk‐based governance (ALCOA+, validation mindset, audit trails, XAI, privacy/PII controls).

Impact & Reporting

• Own measurable impact (adoption, latency, reproducibility, ROI) and provide transparent reporting to R&D leadership and key stakeholders.

Qualifications

Required

PhD degree in a scientific discipline with 10+ years experience , or

MS with 16+ years experience, or BS with 18+ years experience (preferably in Advanced degree in Computer Science, AI/ML, Computational Biology/Chemistry, Bioinformatics, or related; or equivalent industry experience.)

Proven MLOps platform build and delivery of scientist‐facing AI tools embedded in ELN/LIMS/instrument workflows.

Expertise in FAIR data, scientific data models/ontologies, and integration across wet‐lab instruments, imaging, and omics.

Experience with Responsible AI and GxP‐adjacent validation/governance in pharma/biotech R&D.

Strong stakeholder management; ability to translate complex science/data into usable AI for end users.

Preferred

• Experience working in wet-labs and knowledge of Research and Development workflows and processes in either the biologics and/or small molecule fields
• Agentic AI systems and LLMs for scientific contexts; multimodal ML (text/images/sequences/numerical).
• Knowledge of Research/Pharma Sci common data models and cloud analytics/HPC integrations.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives and help shape how AI delivers real impact in drug discovery, we'd like to hear from you.

Position Overview:

We are seeking Scientists to develop and deploy foundational AI models that will transform drug discovery across Takeda. As part of the AI/ML Foundation team, you will build large-scale models including large language models (LLMs), diffusion models, and multimodal architectures that integrate diverse data types—omics, biomedical imaging, protein 3D structures, and molecular representations. This role requires deep expertise in modern deep learning architectures combined with foundational knowledge of biology, chemistry, and disease biology to ensure models are scientifically grounded and impactful. You will train models from scratch, fine-tune pre-trained models for Takeda-specific applications, and deploy foundation model capabilities that accelerate discovery across all therapeutic platforms.

Accountabilities:

• Develop and train foundational AI models (LLMs, diffusion models, flow-matching architectures) for drug discovery applications, with capability to pre-train on large-scale scientific corpora and molecular datasets.
• Fine-tune and adapt pre-trained foundation models (protein language models, chemical LLMs, vision transformers) for Takeda-specific applications in target identification, disease modeling, and molecular design and discovery.
• Build multimodal foundation models integrating diverse data types including omics (genomics, transcriptomics, proteomics), biomedical imaging, protein 3D structures, and molecular representations.
• Apply and extend state-of-the-art approaches including graph neural networks, transformer-based protein language models, and multimodal learning frameworks.
• Apply domain expertise in biology, chemistry, and/or disease biology to guide model architecture decisions, training data curation, and evaluation strategies ensuring scientific validity.
• Implement state-of-the-art generative architectures (diffusion, score-based models, autoregressive transformers) for molecular generation, protein design, and multi-objective optimization.
• Collaborate with computational scientists across domains to deploy foundation models that address diverse discovery needs across small molecules, biologics, and emerging modalities.
• Stay current with advances in foundation models, generative AI, and multimodal learning; contribute to internal knowledge sharing and external publications.

Education & Requirements:

• PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics, or related field or MS with 6+ years relevant experience, or BS with 8+ years relevant experience
• Deep expertise in modern deep learning architectures including transformers, diffusion models, and/or generative models.
• Strong experience training large-scale models with proficiency in PyTorch and distributed training frameworks.
• Foundational knowledge of biology, chemistry, or disease biology sufficient to guide scientifically meaningful model development.
• Experience with at least one of: protein language models (ESM, ProtTrans), molecular generative models, or biomedical vision models.
• Experience with cloud computing (AWS, GCP) and GPU cluster training at scale.

Preferred:

• Experience building or fine-tuning foundation models in pharmaceutical or life sciences settings.
• Expertise in multimodal learning integrating text, images, and structured molecular data.
• Experience with omics data analysis (genomics, transcriptomics, proteomics) and knowledge graph
• Familiarity with protein structure prediction and 3D molecular representations.
• Publications in top-tier ML venues (NeurIPS, ICML, ICLR) or computational biology journals.
• Experience with model compression, efficient inference, or production deployment of large models.
• Strong background in large-scale data integration and multimodal modeling for biological systems.
• Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn); familiarity with Unix tools.
• Excellent collaboration and communication skills.

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives, and help shape how AI delivers real impact in drug discovery, we'd like to hear from you

We are seeking a Senior Scientist to lead the design and implementation of AI orchestration systems within the AI/ML Foundation team. This role combines expertise in agentic AI systems, data engineering, and software architecture to build the infrastructure that enables seamless coordination of AI capabilities across Computational Sciences and Global Research. You will be responsible for creating intelligent orchestration layers that connect diverse AI models, data pipelines, and computational resources to accelerate drug discovery across all therapeutic modalities. The ideal candidate brings strong engineering fundamentals with experience in distributed systems and a passion for building scalable AI platforms.

Accountabilities:

• Design and implement AI orchestration frameworks that integrate agentic systems, data pipelines, and model serving infrastructure to enable coordinated multi-model workflows.
• Build scalable orchestration layers connecting predictive models, generative models, and foundation models with experimental data sources for end-to-end workflow automation.
• Develop data engineering solutions including data ingestion pipelines, transformation workflows, feature stores, and model serving infrastructure supporting discovery across modalities.
• Create intelligent orchestration systems that coordinate agentic AI components for autonomous task decomposition, tool selection, and execution across scientific domains.
• Establish monitoring, observability, and governance frameworks ensuring reliability, reproducibility, and transparent decision-making across AI systems.
• Partner with computational scientists, data engineers, and research teams to ensure orchestration infrastructure meets the needs of diverse discovery workflows.
• Stay current with advances in agentic AI, workflow orchestration, and distributed systems; evaluate and integrate emerging technologies.

Education & Requirements:

• PhD in Computer Science, Data Engineering, Computational Science, or related field with 2+ years relevant experience, OR MS with 6+ years relevant experience.
• Strong software engineering skills with proficiency in Python and experience with distributed systems and cloud infrastructure (AWS, GCP).
• Experience with workflow orchestration frameworks (Airflow, Prefect, Dagster, or similar) and data pipeline development.
• Familiarity with agentic AI frameworks (LangChain, AutoGen, or similar) and LLM integration patterns.
• Experience with containerization (Docker, Kubernetes) and microservices architecture.
• Strong problem-solving skills and ability to work across teams in a fast-paced R&D environment.

Preferred:

• Experience building AI/ML platforms or infrastructure in pharmaceutical or life sciences settings.
• Familiarity with scientific computing workflows and computational chemistry/biology tools.
• Experience with model serving frameworks (TorchServe, Triton, BentoML) and feature stores.
• Knowledge of monitoring and observability tools (Prometheus, Grafana, MLflow).
• Experience with event-driven architectures

Additional Competencies Common in Strong Candidates

• Ability to lead cross-functional initiatives and mentor junior scientists.
• Experience in translating computational insights into experimental strategies.
• Strong publication record or demonstrated thought leadership in AI for biology and molecular design.
• Comfort working in fast-paced, innovation-driven environments with evolving priorities.

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

• Performs tasks, duties and/or complex tests in all areas of the laboratory assigned according to established laboratory protocols and procedures to ensure compliance with applicable federal, state, and local regulations, COLA accreditation requirements and hospital standards.
• Collects and processes specimens utilizing protocols and technical knowledge.
• Performs quality control, preventive maintenance, troubleshooting protocols to ensure proper functioning of instruments, reagents, procedures.
• Validates and delivers results of tests performed and assists with all technical troubleshooting and quality assurance issues.
• Follows established safety practices including biohazards, exposure control plan (blood-borne pathogens), infection control to include standard precautions, employee right to know (hazardous chemicals), and chemical hygiene standard and maintains required documentation for compliance with federal, state, and local, regulations.
• Assist with performing proficiency testing for each test to include corrective action when necessary.
• Develop and foster collaboration among clinical departments and affiliated services to ensure an integrated and coordinated approach to providing laboratory services and resolution of customer complaints or problems.
• Coordinate and perform all pre-analytic, analytic, and post-analytic laboratory activities in collaboration with the Laboratory Director and Technical Consultant
• Assist with patient care and other activities within the scope of state license and/or regulations. May include, but not limited to, phlebotomy, IV starts, initiating EKGs, vital signs, height and weight, intake and output, pulse oximetry and superficial wound care.
• Provide for patient safety related to age and condition
• Maintain patient privacy and confidentiality of information and records at all times
• Provide and maintain a clean, safe environment and perform and/or assist others to perform proper aseptic technique, isolation procedures, and infection control measures
• Assist with the admission, transfer, and discharge of the patient

• Prepare patients and chaperone during examinations/procedures or assists with other patient treatments
• Maintain lab and all patient care areas with appropriate supplies
• Assist with patient restraints and maintain precautions; collect, report and document data related to patient needs/emergencies and unusual patient and family behavior
• Travel to all facility locations as required
• Attend staff meetings or other company sponsored or mandated meetings as required
• Perform additional duties as assigned

• Bachelor's degree in Biological/Physical Sciences or Medical Laboratory Science, required
• Current BLS certification through the American Heart Association or American Red Cross, required
• Market-Specific qualifications:
  • Pennsylvania Market
    • Minimum of 6 years core lab experience, required (Years of experience begin with Medical Laboratory Courses)
  • Las Vegas Market
    • Certification as a Medical Laboratory Scientist/Technologist (MLS/MLT) by the American Society of Clinical Pathology (ASCP), or American Medical Technology (AMT)
    • Valid State of Nevada license Laboratory General Supervisor, or ability to obtain General Supervisor license within 6 months of hire
    • Minimum of 3 years lab experience in the non-waived specialties of a clinical laboratory; 2 of these years must be in a licensed laboratory or a laboratory of a hospital, university or health department and be under the supervision of a director who possesses a doctoral degree
• Experience with IV start, phlebotomy and initiation of EKG a plus (experience is not required); training is provided and required after hire

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide.

The AI/ML organization at Takeda is building a team to transform how medicines are discovered. Our goal is to apply AI and machine learning across the entire drug discovery process, not just isolated steps, but as an integrated approach from target identification through development. This requires discernment: knowing which models and methods fit each problem, and the creativity to adapt when they don't. We work with foundational models, generative approaches, and autonomous systems, but the tools only matter when paired with people who understand the science deeply enough to use them well. Our team brings together computational scientists, biologists, engineers, and drug hunters. If you want to contribute your expertise to hard problems alongside colleagues with different perspectives and help shape how AI delivers real impact in drug discovery, we'd like to hear from you.

Position Overview

We are seeking Senior Scientists to develop agentic AI systems that transform how drug discovery research is conducted. As part of the AI/ML Foundation team, you will build autonomous AI agents capable of reasoning, planning, and executing complex scientific workflows—from literature synthesis and target identification to experimental design and data analysis. This role requires a unique combination of expertise in large language models, agentic frameworks, and understanding of drug discovery processes. You will translate standard research workflows into agentic frameworks, develop new agent skills, and deploy systems that augment scientist productivity across Computational Sciences and Global Research.

Accountabilities:

• Develop agentic AI systems for drug discovery applications including target-disease association, automated literature search and synthesis, hypothesis generation, and intelligent design of experiments.
• Translate standard research workflows into agentic frameworks—decomposing complex scientific processes into autonomous agent tasks that can reason, plan, execute tools, and iterate based on results.
• Design and implement new agent skills (tools, functions, APIs) that extend agentic capabilities to specialized scientific domains including molecular design, property prediction, assay planning, and data analysis.
• Build agentic systems that integrate with foundation models and external knowledge sources for autonomous hypothesis generation, evidence retrieval, and scientific reasoning.
• Develop retrieval-augmented generation (RAG) pipelines connecting agents to internal and external scientific literature, databases, and experimental results.
• Partner with research scientists to understand workflow needs, validate agent outputs, and iterate on system design to ensure scientific rigor and utility.
• Stay current with advances in agentic AI, LLM applications, and scientific automation; contribute to internal knowledge sharing and external publications.

Educational & Requirements:

• PhD in Computer Science, Computational Biology, Bioinformatics, or related field with 2+ years relevant experience, OR MS with 6+ years relevant experience.
• Strong experience with large language models (GPT, Claude, Llama) and their application to complex reasoning tasks.
• Proficiency in Python and experience with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar).
• Experience building RAG systems including vector databases, embedding models, and retrieval pipelines.
• Understanding of drug discovery processes and scientific research workflows.
• Strong problem-solving skills and ability to translate complex scientific processes into computational workflows.

Preferred:

• Experience in pharmaceutical or biotech R&D environments.
• Background in biology, chemistry, or disease biology.
• Experience with reinforcement learning or planning algorithms for agent decision-making.
• Familiarity with scientific databases (PubMed, UniProt, ChEMBL) and APIs.
• Experience deploying AI systems in production environments.
• Track record of publications or presentations on LLM ap

Additional Competencies Common in Strong Candidates

• Ability to lead cross-functional initiatives and mentor junior scientists.
• Experience in translating computational insights into experimental strategies.
• Strong publication record or demonstrated thought leadership in AI for biology and molecular design.
• Comfort working in fast-paced, innovation-driven environments with evolving priorities.

ADDITIONAL INFORMATION

• The position will be based in Cambridge, MA

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

Locations

Worker Type

Worker Sub-Type

Time Type

Job Exempt

• Performs tasks, duties and/or complex tests in all areas of the laboratory assigned according to established laboratory protocols and procedures to ensure compliance with applicable federal, state, and local regulations, COLA accreditation requirements and hospital standards.
• Collects and processes specimens utilizing protocols and technical knowledge.
• Performs quality control, preventive maintenance, troubleshooting protocols to ensure proper functioning of instruments, reagents, procedures.
• Validates and delivers results of tests performed and assists with all technical troubleshooting and quality assurance issues.
• Follows established safety practices including biohazards, exposure control plan (blood-borne pathogens), infection control to include standard precautions, employee right to know (hazardous chemicals), and chemical hygiene standard and maintains required documentation for compliance with federal, state, and local, regulations.
• Assist with performing proficiency testing for each test to include corrective action when necessary.
• Develop and foster collaboration among clinical departments and affiliated services to ensure an integrated and coordinated approach to providing laboratory services and resolution of customer complaints or problems.
• Coordinate and perform all pre-analytic, analytic, and post-analytic laboratory activities in collaboration with the Laboratory Director and Technical Consultant
• Assist with patient care and other activities within the scope of state license and/or regulations. May include, but not limited to, phlebotomy, IV starts, initiating EKGs, vital signs, height and weight, intake and output, pulse oximetry and superficial wound care.
• Provide for patient safety related to age and condition
• Maintain patient privacy and confidentiality of information and records at all times
• Provide and maintain a clean, safe environment and perform and/or assist others to perform proper aseptic technique, isolation procedures, and infection control measures
• Assist with the admission, transfer, and discharge of the patient

• Prepare patients and chaperone during examinations/procedures or assists with other patient treatments
• Maintain lab and all patient care areas with appropriate supplies
• Assist with patient restraints and maintain precautions; collect, report and document data related to patient needs/emergencies and unusual patient and family behavior
• Travel to all facility locations as required
• Attend staff meetings or other company sponsored or mandated meetings as required
• Perform additional duties as assigned

• Bachelor's degree in Biological/Physical Sciences or Medical Laboratory Science, required
• Current BLS certification through the American Heart Association or American Red Cross, required
• Market-Specific qualifications:
  • Pennsylvania Market
    • Minimum of 6 years core lab experience, required (Years of experience begin with Medical Laboratory Courses)
  • Las Vegas Market
    • Certification as a Medical Laboratory Scientist/Technologist (MLS/MLT) by the American Society of Clinical Pathology (ASCP), or American Medical Technology (AMT)
    • Valid State of Nevada license Laboratory General Supervisor, or ability to obtain General Supervisor license within 6 months of hire
    • Minimum of 3 years lab experience in the non-waived specialties of a clinical laboratory; 2 of these years must be in a licensed laboratory or a laboratory of a hospital, university or health department and be under the supervision of a director who possesses a doctoral degree
• Experience with IV start, phlebotomy and initiation of EKG a plus (experience is not required); training is provided and required after hire

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

tvScientific is looking for a Senior MLOps Engineer! You'll be working with a distributed engineering team on our Connected TV ad-buying platform, as we scale our Machine Learning practice. We've cracked the code on optimizing TV ad campaigns. We're scaling massively and we need your help to make that scale sustainable.

An Idealab company, tvScientific was co-founded by executives with deep roots in programmatic advertising and digital media. tvScientific helps our clients buy ads across the CTV universe, from Hulu to PlutoTV to the ad-supported tier of Disney+ and (HBO) Max. Since our acquisition by Pinterest, we're expanding our work on CTV to lift search & social advertising performance.

What you'll do:

• 
  
• Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
  
• Improve the developer experience for the data science team
  
• Upgrade our observability tooling
  
• Serve as a technical lead and mentor to the team
  
• Make every deployment smooth as our infrastructure evolves.
  

What we're looking for:

• 
  
• Deep understanding of Linux
  
• Excellent writing skills
  
• A systems-oriented mindset
  
• Experience in high-performance software (RTB, HFT, etc.)
  
• Software engineering experience + reliability (e.g. CI/CD) expertise
  
• Strong observability instincts
  
• Nice-To-Haves:
  
  • 
    
  • Reverse-engineering experience
    
  • Terraform, EKS, or MLOps experience
    
  • Python, Scala, or Zig experience
    
  • NixOS experience
    
  • Adtech or CTV experience
    
  • Experience deploying a distributed system across multiple clouds
    
  • Experience in hard real-time low-latency (

If interested in position, please fill out this form: description

Join the Future of Healthcare at MedWatchers

MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model—ranging from full SaaS, hybrid solutions, to fully delegated services—we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions.

Our comprehensive suite includes:

• CMAPP, our cloud-based care management platform
• Advanced analytics and risk-based targeting to derive ROI
• Omnichannel member and provider engagement
• Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects

We’re trusted by over 60 national and regional health plans—including the six largest payers in the U.S.

As we scale, we’re expanding our San Diego-based Technology Team across multiple positions. We’re hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego.

Software Engineer (various levels)

Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience)

Location: Onsite – San Diego, CA (No remote)

Salary Range: $130,000 – $160,000 (based on experience and skills) + Annual Bonus

Masters degree required in Computer Science, Data Science, Engineering, or a related field

Overview

Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You’ll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment.

Key Responsibilities

• Develop and maintain full-stack web applications with clean, testable code
• Design and implement RESTful APIs and backend services
• Build responsive, component-based user interfaces using modern JavaScript frameworks
• Work with cloud-native tools and infrastructure for scalable deployment
• Participate in code reviews, technical design discussions, and agile ceremonies
• Collaborate cross-functionally with product managers, clinicians, and data teams
• Ensure performance, reliability, and security of deployed applications
• Contribute to platform architecture decisions as the product scales

Representative Technologies (familiarity with similar tools is welcome)

• Frontend: JavaScript (React, Angular, Vue)
• Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust
• Databases: PostgreSQL, MongoDB, Redis
• Cloud Platforms: AWS, Azure, GCP
• DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes

Ideal Experience

• Strong programming fundamentals and debugging skills
• Proven experience in full-stack application development
• Familiarity with modern deployment workflows and cloud services
• Agile team collaboration and iterative product delivery
• Bonus: Exposure to healthcare data, APIs, or workflows

We offer a comprehensive benefits package, including:

• 401(k) with company matching
• Health, dental, and vision insurance
• Paid time off (PTO)
• Tuition reimbursement
• Employee discounts

If interested in position, please fill out this form: description

Join the Future of Healthcare at MedWatchers

MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model—ranging from full SaaS, hybrid solutions, to fully delegated services—we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions.

Our comprehensive suite includes:

• CMAPP, our cloud-based care management platform
• Advanced analytics and risk-based targeting to derive ROI
• Omnichannel member and provider engagement
• Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects

We’re trusted by over 60 national and regional health plans—including the six largest payers in the U.S.

As we scale, we’re expanding our San Diego-based Technology Team across multiple positions. We’re hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego.

Software Engineer (various levels)

Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience)

Location: Onsite – San Diego, CA (No remote)

Salary Range: $160,000– $200,000 (based on experience and skills) + Annual Bonus

PHD required in Computer Science, Data Science, Engineering, or a related field

Overview

Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You’ll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment.

Key Responsibilities

• Develop and maintain full-stack web applications with clean, testable code
• Design and implement RESTful APIs and backend services
• Build responsive, component-based user interfaces using modern JavaScript frameworks
• Work with cloud-native tools and infrastructure for scalable deployment
• Participate in code reviews, technical design discussions, and agile ceremonies
• Collaborate cross-functionally with product managers, clinicians, and data teams
• Ensure performance, reliability, and security of deployed applications
• Contribute to platform architecture decisions as the product scales

Representative Technologies (familiarity with similar tools is welcome)

• Frontend: JavaScript (React, Angular, Vue)
• Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust
• Databases: PostgreSQL, MongoDB, Redis
• Cloud Platforms: AWS, Azure, GCP
• DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes

Ideal Experience

• Strong programming fundamentals and debugging skills
• Proven experience in full-stack application development
• Familiarity with modern deployment workflows and cloud services
• Agile team collaboration and iterative product delivery
• Bonus: Exposure to healthcare data, APIs, or workflows

We offer a comprehensive benefits package, including:

• 401(k) with company matching
• Health, dental, and vision insurance
• Paid time off (PTO)
• Tuition reimbursement
• Employee discounts

ML Realty Partners (MLRP) is a long term industrial real estate investor in the Central United States. The company provides clients with an exceptional experience at its properties. A collaborative team of accountable professionals, ML Realty Partners has a platform that will continue to strive to exceed team members’ expectations, both in growth opportunities and in recognition of performance.

We are actively seeking a full-time Executive Administrative Assistant to provide support to our leasing, asset management, acquisition teams and other internal team members as needed. 

We offer a hybrid work environment – (2) days working from home and (3) days in the office until further notice. 

Responsibilities include:

• Provide administrative support to Leasing and Acquisitions teams including expense reports and travel
• Work closely with Office Manager to maintain inventory of office supplies, coding invoices for payment, subscription renewals and special projects as requested
• Coordinate internal and external resources to expedite workflow; including but not limited to compiling monthly and quarterly reports, copying, filing, scanning and calendar management
• Prepare and administer contractual documentation to ensure timely completion of successful development and leasing projects
• Maintain contact database and prepare reports as needed
• Accurately maintain electronic filing system

Requirements:

• Previous experience in a professional office environment a must
• Exceptional communication (both verbal and written), organizational, time management and customer service skills with strong attention to detail
• Team player capable of supporting and interacting with all levels of management
• Aptitude for learning new software and systems
• Demonstrate ability to exercise good business judgment when responding to the needs of clients, both internally and externally
• Intermediate to advanced skills in Microsoft Office - Outlook, Word, Excel, and PowerPoint
• Ability to exercise initiative, work independently and proactively follow-up
• Previous experience in development/industrial real estate a plus

Benefits and Requirements:

• For this role, benefits include medical, dental, vision, life and AD&D insurance, 401k match, disability benefits, wellness and education benefits, vacation, holidays, and more.
• Completion of a satisfactory background check is required before employment agreement can be made
• Hiring Salary Range of: $65K/yr - $75K/yr. Salary and bonus compensation package to be determined by the candidate’s education, experience, knowledge, skills, and abilities.
• ML Realty Partners is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Please email cover letter and resume to:

No phone calls, please.

Job description

• Community Manager

Department: Management Job Status: Full Time

FLSA Status: Exempt Reports To: Director of Operations

Work Schedule: Varies based on location Amount of Travel Required: 10-25%

Positions Supervised: Service Manager, Assistant Community Manager, Leasing Consultant

POSITION SUMMARY

The Community Manager is fully accountable for all property operations. Leadership ability is a must, as the Community Manager is the leader of the site team. The purpose of the Community Manager is to effectively manage and coordinate activities and available resources in order to accomplish property, owner, and company objectives. These objectives will include maximizing occupancy and income levels, increasing property values, and minimizing property operational expenses while maintaining a quality product.

FINANCIAL RESPONSIBILITY

Innovative: Demonstrates efficiency and creativity; looks for better, faster and more efficient ways of doing things; handles challenges/obstacles with a positive outlook.

Performance: Exhibits a well-organized and timely approach to achieve desired results; aligns resources to meet the needs of the department; and takes corrective action when necessary.

Fiscal Safety: Concerned for the financial well-being of the company by compliance to safety procedure; awareness of liability concerns.

FUN

Passion: Enjoys the work that they do and demonstrates a pleasant demeanor on the job and shows desire for success.

Entrepreneurial Spirit: Exhibits behavior that is consistent with the Vision, Mission and Values of the Company; makes working environment enjoyable for self and others.

JOB SPECIFIC COMPETENCIES

Associate Relations:

• Manages all on-site employees, including giving timely, constructive feedback and positive encouragement.
• Motivate the office and maintenance staff and give consistent verbal and written feedback. Has the ability to document performance feedback (including corrective actions) and effectively manages employee performance on a regular interval.
• Train and develop subordinates (provide on-the-job training and ensure assigned company training is complete).
• Recruit, hire, train, motivate and supervise all on-site staff in order to achieve operational goals assigned to the property. This will include team building, training, and performance management.
• Plan and carry out the successive steps of regular duties and handles problems and deviations in the work assignment in accordance with objectives, policies, previous training, or company practices.
• Abides my state and federal work regulations including wage and hour laws. Does not participate in or allow discriminatory, harassing or retaliatory actions
• Has read and understands the MLPG New Hire Onboarding Process and is effectively able to execute the process and communicate it to candidates
• Coordinates directly with HR regarding termination decisions and does not make termination recommendations unless the proper documentation is in place.

Resident Relations and Education:

• Communicate clearly to residents and in a consistent manner.
• Respond to resident requests and concerns in a timely, professional manner.
• Read and/or listen to resident requests/complaints in a calm, respectful, and open manner.
• Maintain a complete clean and neat uniform. Personal appearance must be clean and neat at all times, according to MLPG policy.
• Demonstrate customer service skills by treating residents, coworkers, supervisors, and vendors with respect, answering questions in a professional and open manner. Responds sensitively to concerns/complaints and exhibits a sense of urgency.
• Attend and assist in resident activities and functions after hours and weekends, as needed.

Financial:

• Assist in budget preparation, as well as maintain budgeted income and expenses. Project monthly forecasts and understand and explain budget variances.
• Ensure that all rents are collected and posted and processed/deposited on a daily basis.
• Oversee all accounting transactions. Manage cash accounts, process invoices as directed by Supervisor and owner, maintain proper bookkeeping at all times.

Property Evaluations:

• Perform and schedule all evictions and enforce adherence to all lease rules and regulations by all residents.
• Walk all vacant units as well as the property on a regular basis ensuring that it is well maintained. During these inspections all liability and/or deficiencies should be reported to to the Service Manager and Supervisor.
• Responsible for office operations, quality curb appeal, office and model cleanliness.
• Conduct market surveys as required. Create and implement marketing plans for ongoing success and high occupancy of the property.

Payroll:

• Has a working knowledge and a familiarity with Paylocity Payroll System. Seeks help and additional training if necessary.
• Seeks supervisor or ownership’s approval before approving employee overtime.
• Approval of timesheets and overtime by the 10am Monday morning deadline.
• Ensures employees have completed their time card approvals.
• Limits and monitors employee missed punches and disciplines chronic offenders.
• Does not manipulate over time records, monitors overtime proactively but does not remove legitimate employee overtime worked. Does not allow employees to work off the clock.
• Maintains accurate payroll records by promptly returning Associate Status Forms to Payroll.

Reporting:

• Must maintain all records in a complete and organized manner as described throughout the MLPG P&P Operations Manual and in full compliance with outside regulatory boards which may be applicable (EEOC, OSHA, EPA, HUD, etc.)
• Consistently review all leasing performance and paperwork.

Safety:

• Responsible for responding to all emergency situations, preparing all necessary reporting and notifying the Supervisor, Regional Director, VP and COO.

Compliance:

• Assist in managing the client/owner relationship by meeting with owners, conducting property tours, providing updates and information about the property performance, and responding to owner requests as needed.
• Conduct all business in accordance with company policies and procedures, Fair Housing, ADA, Fair Credit Reporting Act, OSHA, EPA and all other Federal, State and Local laws pertaining to Multi-Family Housing.\
• Fully implement and enforce all policies and procedures as outlined in the MLPG Policy and Procedures Manuals. Maintain and keep Policies and Procedures in up to date manner, inform and train staff on any revisions in a timely manner.
• Review and approve all leasing application files; enforce property qualifying criteria in a fair and consistent manner for all leasing applicants.

POSITION QUALIFICATIONS

Education

High School degree required, college preferred.

Experience

One year prior experience in property management or in a related industry.

Other Requirements

Excellent written and verbal communication skills providing for effective communication with residents, employees, peers, vendors, owners, etc. and to assist in efficient operations. Basic understanding of Landlord/Tenant laws and application, familiarity with GAA Lease and Addendums, Fair Housing/ADA regulations and application, OSHA & EPA requirements for property management industry.

SKILLS & ABILITIES

Computer Skills

Computer software experience to include MS Word, MS Excel, Google Suite. Basic typing skills and knowledge of computers. Use of the company’s payroll system is required. Prior HRIS experience a plus.

Certificates & Licenses

Valid driver’s license and current automobile insurance is required. Position requires individuals to furnish their own reliable transportation. CPM®, ARM® designation preferred. Ability to earn future designations as required by Industry standards.

WORK ENVIRONMENT

The work environment involves everyday risks or discomforts which require normal safety precautions typical of such places as offices, meeting and training rooms and residences or commercial vehicles.

The work area is adequately lighted, heated, and ventilated. On occasion, the incumbent may be exposed to dirty and/or hazardous conditions when inspecting vacated units.

UNDERSTANDING OF JOB ESSENTIALS:

ML Property Group is a harassment free workplace. All candidates must pass a drug screen (with the elimination of THC) and an extensive background check. MLPG is an equal opportunity employer and does not tolerate harassment, discrimination or retaliation.

I understand that all pre-employment screening activities are conducted in compliance with federal and state employment laws. Background checks are completed during the post-offer stage of the employment process in compliance with the Fair Credit Reporting Act requirements.

I also fully understand the content of this job description, have had the opportunity to ask questions regarding this job description, and have had the job duties and responsibilities, requisites, and physical demands and working conditions explained to me. I am capable of performing the essential functions of this job with or without reasonable accommodation. If I need accommodation, I will ask the hiring manager for it.

Job Type: Full-time

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee discount
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Professional development assistance
• Referral program
• Vision insurance

Schedule:

• 8 hour shift

Work Location: In person

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

Company Description

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
• Better together:We check our egos at the door. We work together, so we win together.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/