Shield Ai Valuation Multiple Jobs in Usa

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Systems Architect - Edge AI/ML
Salary not disclosed
Milwaukee, WI 3 days ago

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

Edge AI/ML Architecture Strategy
  • 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.
Innovation Leadership
  • 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.
Product and Platform Enablement
  • 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.
Integration and Interoperability
  • 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.
Security, Safety, and Quality
  • 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.
Technical Leadership and Cross-Functional Collaboration
  • 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.
Supervisory Responsibilities
  • 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.

Not Specified
Lead AI Engineer
Salary not disclosed
Quincy, MA 3 days ago

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.


Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.


Our offices have onsite fully equipped state of the art gyms for employees at zero cost.


Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.


We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.


Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.


Granite was recently named One of Forbes Best Employers for Diversity.


Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.


If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.


EOE/M/F/Vets/Disabled

Job Description


We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:



  • Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  • Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  • Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  • Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.



Duties and Responsibilities



  • Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  • Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  • Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  • Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  • Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  • Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  • Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  • Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  • Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  • Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources

Required Qualifications



  • Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  • 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  • Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  • Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  • Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  • Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  • Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  • Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.

Preferred Qualifications:



  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  • Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  • Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  • Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  • Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  • Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  • Experience in regulated industries or environments requiring strict compliance and data governance standards.
Not Specified
Assistant Professor, Associate Professor, or Professor in Non-CombustionReaction, and Data Analytics /AI (RISES)
Salary not disclosed
Orlando, FL 2 days ago

The Opportunity

The University of Central Florida (UCF) has established several interdisciplinary faculty research clusters to strengthen its academic offerings and research mission. In support of this effort, we invite candidates for two (2) tenure-earning assistant professor, tenured associate professor, or tenured professor positions with the university research center on Resilient, Intelligent, and Sustainable Energy Systems (RISES). The positions have an anticipated start date of August 8, 2026.

These are interdisciplinary positions that will be expected to strengthen both the RISES Center and a chosen tenure home department and may include a combination of joint appointments. A strong advantage of this position is the ability of the candidate to choose multiple units for their joint appointment in the College of Engineering and Computer Science, the College of Sciences, or both.

All candidates whose research are at the forefronts of energy systems, resilience, and sustainability will be considered. The technical fields of specific research interest for the two positions include but are not limited to:

Position # 1- Sustainable Energy Systems: Non-Combustion (Host Department: Mechanical and Aerospace Engineering):

An ideal candidate will have extensive expertise in pathways for novel processes of electric power generation and storage that do not involve combustion. The selected candidate should be proficient in process design, characterization, and modeling of low carbon electricity generation technologies that ensure access to affordable, reliable, and sustainable power for all. We seek candidates with a strong foundation in fluid mechanics, thermodynamics, heat and mass transfer, and energy systems engineering, and a demonstrated research record in non-combustion-based electric power generation and/or energy storage.

Areas of particular interest include, but are not limited to:


  • Advanced nuclear energy systems, including small modular reactors (SMRs), microreactors, molten salt reactors, liquid metal reactors and high-temperature gas cooled reactors, especially those supporting grid resilience.


  • Hydrogen production and storage, particularly hydrogen derived from nuclear or natural gas with carbon capture (blue hydrogen).


  • Thermal energy storage and high-efficiency heat exchangers for industrial and grid-scale applications.


  • Electrochemical systems, including next-generation batteries and fuel cells for defense, aerospace, and critical infrastructure.


  • Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security.


  • Experimental platforms for high-temperature, high-pressure energy systems.


  • Risk-informed design of energy infrastructure.


Candidates should demonstrate the ability to lead an independent, externally funded research program and contribute to interdisciplinary collaborations. A strong record of peer-reviewed publications, mentorship, and engagement with industry, national laboratories, or large-scale research initiatives is highly desirable. Experience with computational tools (e.g., CFD, FEA, system-level modeling) and/or experimental platforms for energy systems is expected.

Position # 2 - Machine Learning and AI for Energy Systems (Host Department: Computer Science and possibly Electrical and Computer Engineering Department):

An ideal candidate would have extensive experience applying modern machine learning techniques to solving complex problems within the energy systems. The candidate should have a strong foundation in deep learning techniques (including convolutional neural networks, recurrent neural networks and multi-head attention models). An experience with specialized foundation models is a plus.

Areas of interest include but are not limited to:


  • Energy market and load/generation forecasting, including short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning and domain adaptation for data-scarce regions and integration of weather, mobility, and socioeconomic data for predictive modeling.


  • Distributed infrastructure resource management, including data-driven modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed coordination and demand response optimization using AI.


  • Distributed infrastructure system optimization, such as real-time optimization of interdependent infrastructure and energy systems using AI and advanced control methods, hybrid physics-informed and data-driven modeling and control for stability and flexibility.


  • Energy system resiliency research, including detection of faults and cyber-attacks, outage prediction under extreme conditions, resilient cybersecurity solutions, and self-healing algorithms.


Candidates should demonstrate not only extensive experience in deep learning, reinforcement learning, and unsupervised learning but also evidence in interdisciplinary, human-centric, community-based, and data-driven research on energy systems.

Successful candidates will have research impact as reflected in high-quality publications and the ability to build a well-funded and sustainable research program. We are looking for team players who can further enhance our strong campus-wide efforts in energy systems research. The positions will carry ranks commensurate with the candidate's prior experience and record.

UCF is one of the nation's largest universities with a diverse student body of nearly 70,000 students and has grown substantially in size, quality, diversity, and reputation. Today, the university offers more than 240 degree programs. In 2019, UCF was officially recognized as a Hispanic Serving Institution (HSI) by the U.S. Department of Education and a "Green College" by the Princeton Review for our efforts in sustainability and environmental responsibility. UCF's students represent all 50 states and over 120 countries. UCF is in a centralized location that is 30 minutes to Walt Disney World and Universal Orlando and 60 minutes to the beach. UCF has 16 sports teams, including football, soccer/futbol, tennis, volleyball, and 600+ cultural, academic, and social student clubs and organizations all led by faculty mentors. In addition, UCF has several associations for faculty and staff, among them, the Black Faculty and Staff Association (BFSA), the Latino Faculty and Staff Association (LaFaSA), and the PRIDE Faculty and Staff Association. UCF received the 2019 Higher Education Excellence in Diversity (HEED) Award from INSIGHT Into Diversity magazine, which recognizes U.S. colleges and universities that demonstrate an outstanding commitment to diversity and inclusion.

The Carnegie Foundation has classified UCF as an R1 Doctoral University for its high research activity and community engagement. This past fiscal year, UCF brought in nearly $205M. The RISES center is one of nation's very top university research centers as measured by federal funding. For the fifth consecutive year, UCF has been recognized among the nation's most innovative universities according to U.S. News & World Report while Kiplinger's and The Princeton Review have ranked UCF as one of the nation's best values for a college education.

UCF is an economic engine, attracting and supporting industries vital to the region's future while providing students with real-world experiences that help them succeed after graduation. UCF's Orlando location also puts it at the center of the Florida High Tech Corridor. The corridor has an excellent industrial base that includes software, defense, space, simulation and training, and a world-renowned entertainment industry. Adjacent to UCF is a thriving research park that conducts over $2 billion in funded research, hosting more than 100 high-technology companies and UCF's School of Modeling, Simulation, and Training. UCF also has an accredited medical school which was established in 2006 and is a neighbor to the VA, Nemours, and the UCF Lake Nona Medical Center, all of which have a strong interest in sustainable energy systems research and demonstration. Great weather, easy access to the seashore, one of the largest convention centers in the nation, and one of the world's best airports are just a few features that make Orlando an ideal location. We encourage you to learn more about UCF at faculty.

Minimum Qualifications:

  • A Ph.D. or foreign degree equivalent from an accredited institution, in an area appropriate to the RISES center at the time of appointment. The selected candidate must also have a record of high impact research related to energy systems, demonstrated by a strong scholarly and/or funding record.

  • In order to obtain tenure upon hire, the selected candidate must have a demonstrated record of teaching, research and service commensurate with rank in the tenure department.

Preferred Qualifications:


  • Past work experiences in a national lab and/or industry are desired.


  • A history of working with teams, especially teams that span multiple disciplines, is a strongly preferred qualification.


  • Prior work experience with energy storage systems is highly preferred.


Additional Application Materials Required:

UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, jobs/. In addition to the online application, interested candidates should upload the following:

  • A curriculum vitae.


  • A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest. In the letter candidates must include:



    • their background in research and scholarship in or related to the areas noted in the job description above.


    • specifically highlight their interdisciplinary approach to research.


    • specify which position they are applying to and which department they plan to reside.




  • A teaching statement.


  • A research statement.


NOTE: Please have all documents ready when applying so they can be attached at that time. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.

The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed toDr. Zhihua Qu at .

Special Instructions to the Applicants:

Candidates needto specify in their cover letters which position they are applying to and which department they plan to reside.

Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.

Job Close Date:

Open until filled

Note to applicants: Please keep in mind that a job posted as 'Open until filled' may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Working at UCF has its perks!UCF offers:


  • Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.
  • Paid time off, including annual (12-month faculty) and sick time off and paid holidays.
  • Retirement savings options.
  • Employee discounts, including tickets to many Orlando attractions.
  • Education assistance.
  • Flexible work environment.
  • And more...For more benefits information, view the UCF Employee Benefits Guide click here.

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

College of Engineering and Computer Science (CECS) - Mechanical and Aerospace Engineering (MAE)

Work Schedule

Varies

Type of Appointment

Regular

Expected Salary

Negotiable

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .

Not Specified
AI Solutions Specialist
Salary not disclosed
Purchase, NY 2 days ago

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 AI SolutionsSpecialistis responsible forpartnering with business and technology stakeholders to design, integrate, and deliver AIpowered conversational agents and workflow automation solutions across the enterprise. This roleleads tothe technical implementation of AI platforms and agent development tools, ensuring secure, scalable, and compliant solutions that drive productivity and business value.Deep coding expertise is notrequired. However, the candidate must understand modern technology stacks, AI concepts, and system integration terminology.The ideal candidate will thrive inan evolving,fast-changingenvironment,where AI capabilities and standards continue to mature.

Essential Duties and Responsibilities

  • Work closely with business stakeholders toidentifyautomation opportunities.
  • Lead the technical set up and integration ofconversational AI platform & agent development studiowithin the enterprise environment.- copilot agents preferred, deploying across enterprise not for personal use.
  • Analyze business processes, data flows, and system architectures to support AI solution design.
  • Support configuration and deployment of AI-powered agents,applications,and workflows.
  • Design,build,and customize AI agents to automate workflows and improve productivity.
  • Utilizedata platforms such asMicrosoft Fabric, Snowflake, Databricks, AWSfor data orchestration, governance, and compliance.
  • Ensure seamless interoperabilityof agentsacrossMicrosoft and other enterprise applications asrequired.
  • Evaluateand implement secure API integrationswith enterprise systems using APIsandconnectors to enable data exchange and workflow automation.
  • Apply best practices for data security, identity management, and compliance with organizational and regulatory standards.
  • Apply analytical judgment to assess feasibility, scalability, data readiness, and risks of AI use cases.
  • Collaborate withcybersecurityand product teams to build robust AI solutions
  • Test new AI agent enhancements, integrations, and fixes prior to release to ensure quality and expected behavior.
  • Track and analyze performance metrics, including response quality, speed, reliability, andcost-effectivenessof AI agents and automated workflows.
  • ContinuouslyoptimizeAI solutions based on performance data, user feedback, and evolving business needs.
  • Document requirements, solution designs, architecture diagrams, and integration approaches in a clear and concise manner.
  • Contribute to internal standards, reusable patterns, and best practices for AI agent and automation development.
  • Support knowledge sharing and enablement across technical and business teams.

Qualifications Expected for Position

  • Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related fieldor equivalent combination of education and relevant professional experience.
  • Advanced certifications or coursework in cloud platforms, data engineering, or AI/ML preferred.
  • 3+years of experience in solution architecture, systems integration, automation engineering, or applied AI roles.
  • 1+ year demonstrated ability to design, build, and deployAI-poweredagents, workflows, or conversational applications.
  • Proven experience working directly with business stakeholders to translate operational needs into scalable technical solutions.
  • Hands-on experience implementing enterprise automation or conversational AI solutions across multiple departments or use cases.
  • Experienceoperatingin regulated orsecurity-consciousenvironments, supporting compliance and governance requirements.
  • Strong experience designing and implementing enterprise system integrations using APIs, connectors, and automation frameworks.
  • Experience working with modern data platforms (e.g.,Microsoft Fabric, Snowflake, Databricks, AWS) to support data orchestration, access control, and compliance.
  • Solid understanding of identity management, access controls, and data security best practices.
  • Ability to assess AI solution feasibility, including data readiness, scalability, performance, and cost considerations.
  • Strong analytical andproblem-solvingskills with the ability to apply sound judgment to ambiguous or emerging AI use cases.
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to nontechnical audiences.

The base salary range for this position is$130,000 - $140,000. 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.

Not Specified
Senior Applied AI Scientist
🏢 Harnham
Salary not disclosed
New York, NY 2 days ago

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

  • You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
  • You will report directly to senior leadership and work closely on technical direction
  • Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
  • You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
  • You will play an integral role of building out the AI team and scaling out its product
  • Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

  • 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
  • Experience working in a scaling startup is preferred
  • Expertise in Python (TensorFlow, PyTorch) for production-grade work
  • Commercial experience building novel AI platforms with large datasets
  • History of working with and managing real-time AI applications in production settings
  • Cloud experience in AWS, Azure or GCP
  • DevOps exposure with CI/CD pipelines preferred
  • History of working on models from concept to production / end-to-end / 0-1
  • Applied research background in a commercial setting required
  • Publication and/or patent history highly preferred
  • Experience in settings wearing multiple hats
  • Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
  • History of partnering with non-technical stakeholders required
  • Experience owning projects
  • PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Not Specified
Audit Lead - AI Model Risk (SAN ANTONIO)
✦ New
🏢 Usaa
Salary not disclosed
San Antonio, Texas 1 day ago

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

As an Audit Lead, you'll support audit engagements of varying complexity, often participating in cross-functional, risk-based assurance and advisory projects, contributing to the quality of audit work. A key aspect of this role involves testing models and model-related tools as part of audit engagements. You will support Auditor-In-Charge (AIC) responsibilities and maintain knowledge of financial services regulations, effectively responding to and interacting with regulators.

This role provides support and oversight to multiple audit engagements and participates in the review of engagement planning, fieldwork, and reporting. You will also manage strategic initiatives and assist with the development and implementation of a risk-based audit plan. You will serve as, and/or partner with, subject matter expert(s) within audit or the business to analyze issues, establish collaborative client relationships, and proactively work with client management to assess risk and improve internal controls. You will also adhere to the Institute of Internal Auditors' International Standards for the Professional Practice of Internal Auditing (Standards) and Code of Ethics.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Charlotte, NC.

Relocation assistance is available for this position.

What you'll do:

  • Contribute to continuous monitoring, advisory activities, special reviews, and investigations.
  • Ensure assigned audit engagements are completed objectively, professionally, and timely, adhering to audit standards.
  • Identify control weaknesses and recommend improvements, drafting audit issues and reports for client leadership and conducting follow-up.
  • Support quality of audit reviews and propose updates to the universe risk assessment based on audit results.
  • Build client relationships to drive strategic objectives.
  • Communicate effectively with business/clients, delivering risk-based and difficult messages, and potentially with regulators and executive leaders.
  • Provide coaching and guidance to other auditors, ensuring timely and quality deliverables, and may provide engagement evaluations.
  • Provide input into the internal audit universe and risk profiles, updating risk assessment information.
  • Participate in the development and execution of the annual audit plan, assessing and covering risks.

What you have:

  • Bachelor's degree in Business or relevant field such as Finance, Accounting, Business, or Information Technology. Four additional years of related experience beyond minimum required may be substituted in lieu of a degree.
  • 8 years of audit, financial, insurance, banking, information technology or related business and/or leadership experience.
  • Experience performing internal audits, external audits, or applying audit, risk, or compliance acumen in a complex operational and regulatory environment.
  • Broad and comprehensive experience in Audit theory, internal audit principles with demonstrated experience in audit examining, analyzing, assessing, and drawing conclusions from audit work.
  • Demonstrated experience effectively communicating and challenging Controls with business partners and influencing business outcomes.
  • Understanding of risks and internal controls and the ability to evaluate and determine adequacy and efficiency of controls.
  • Experience in a support role, mentoring, and providing feedback to audit team members throughout the audit.
  • Experience in overseeing work with both internal and external partners in a highly collaborative environment
  • Demonstrated critical thinking and knowledge of data analysis tools and techniques and decision-making abilities.
  • Demonstrated experience in highly dynamic environment undergoing change; ability to deal with competing priorities.

What sets you apart:

  • AI/ML Knowledge: Comprehensive understanding of AI/ML concepts, lifecycle stages, data sourcing, model types, tools, applications, and model risk management principles.
  • AI Risk Management Expertise: Proficient in identifying, assessing, and mitigating risks associated with AI systems (e.g., safety, data integrity, privacy, security, biases).
  • Model Risk & Control: Deep knowledge of model risk frameworks and control testing methodologies.
  • Regulatory & Governance Expertise: Familiarity with AI-related regulatory guidance (e.g., SR 11-7, OCC 2011-12) and emerging governance principles (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act).
  • AI Explainability & Transparency: Ability to evaluate interpretability techniques for regulatory and business transparency.
  • Emerging Technology Awareness: Awareness of generative AI, LLMs, and automated decisioning frameworks to assess evolving risks and adapt audit techniques.

Compensation range: The salary range for this position is: $143,320 - $273,930

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on .

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Not Specified
Sr. Product Manager, AI/ML Personalization
✦ New
Salary not disclosed
San Francisco, CA 11 hours ago

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.

Pinterest is where people come for inspiration, not distraction - an active intent platform uniquely positioned at the intersection of search, social, and commerce. Our commitment to personalized discovery and actionable curation helps hundreds of millions around the globe turn inspiration into reality. Here, Personalization is essential to who we are and what we do.



We're looking for a passionate and strategic AI/ML Product Manager to drive the future of personalized experiences on Pinterest. As part of our Personalization team, you'll work across Engineering, Data Science, and Design to deliver industry-leading AI and ML solutions-helping users easily discover inspiration, curate what they love, and shop for what brings their ideas to life. You'll ship impactful products on high-traffic Pinterest surfaces, including Home, Search, and Related Pins, and play a key role in Pinterest's top strategic theme for the years ahead.



What you'll do:



  • Define, design, and launch thoughtful AI/ML-powered experiences that help users discover, curate, and shop ideas tailored to their unique taste.
  • Partner cross-functionally with Engineering, Design, and Data Science to craft seamless and delightful experiences at the intersection of user experience, ML, and AI.
  • Set product vision, influence strategy, write requirements, develop hypotheses, and establish success metrics for critical personalization initiatives.
  • Identify and prioritize new opportunities to advance the relevance, impact, and sophistication of personalization across Pinterest's Curation portfolio.
  • Autonomously navigate and resolve complex, ambiguous product challenges-and influence product strategy across multiple teams.


What we're looking for:



  • Track record in AI/ML products: Experience building and launching personalized experiences, ideally at scale, for consumer products (e-commerce a plus).
  • Technical fluency: Strong understanding of AI/ML product development; ability to credibly partner with engineers and data scientists across the stack.
  • Sharp communication: Comfortable presenting to executives and cross-functional audiences; excels at simplifying complex technical and product concepts.
  • Strategic and customer-centric: Deep empathy for user needs, with an ability to turn rich data and insights into new opportunities and delightful features.
  • Collaborative influencer: Ability to build trusted relationships with a variety of internal partners (including Advanced Technology, Growth, Trust & Safety, Monetization, and more) and align them to shared goals.
  • Ownership mindset: Skilled at defining what success looks like, rallying teams, and guiding projects from ideation to successful launch.
  • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience.


Relocation Statement:



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


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.


#LI-REMOTE
#LI-REX

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.

US based applicants only$139,764—$287,749 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Tech Trans Associate [Mid–Senior] @ AI & Fintech-Focused Platform
Salary not disclosed
Washington, DC 2 days ago

Overview

Whistler Partners is partnering with a nationally recognized technology transactions practice seeking a mid-to-senior level associate (4–8 years) to join its Washington, DC office.


This team operates at the forefront of emerging technologies, advising clients across fintech, financial services, artificial intelligence, cloud services, outsourcing, digital assets, and advertising. The practice sits at the intersection of IP, data strategy, product counseling, and complex commercial contracting in a rapidly evolving regulatory environment.


Why this role?

This is a rare opportunity to build a cutting-edge tech transactions practice focused on AI systems, fintech infrastructure, and data commercialization. The team handles sophisticated, strategic transactions—not just routine commercial agreements—and serves as trusted advisors to innovative companies navigating complex technological and regulatory shifts.


You’ll work on high-value licensing, outsourcing, and product counseling matters while staying close to regulatory developments in AI, open banking, and digital assets. This seat is ideal for someone who enjoys blending deep contractual work with forward-looking technology strategy.


Key Responsibilities

  • Structure, draft, and negotiate strategic technology transactions involving fintech, AI systems, cloud services, and software platforms.
  • Draft and negotiate vendor, supplier, and outsourcing agreements.
  • Advise clients on intellectual property and regulatory issues relating to data, open banking, AI model development, and content use.
  • Draft and negotiate agreements involving software licensing, commercialization, technology development, and IP rights.
  • Provide product counseling and guidance on advertising, marketing, and promotional law for innovative tech launches.
  • Negotiate AI system licenses and content licenses for AI model training.
  • Monitor emerging regulatory frameworks impacting AI, fintech, payments, and advanced technologies.


Top Requirements

  • 4–8 years of experience in technology transactions, licensing, fintech, IP, or outsourcing.
  • Strong understanding of commercialization of advanced technologies, including payments, AI, cloud computing, and software.
  • Experience negotiating complex IP, data access, and licensing arrangements.
  • Background advising fintech, financial institutions, or digital asset clients.
  • Exceptional drafting, negotiation, and communication skills.
  • Ability to manage multiple sophisticated matters in a collaborative, fast-paced environment.
  • JD and admission to practice in the relevant jurisdiction.


Preferred Experience

  • Experience negotiating AI system and AI training content licenses.
  • Familiarity with advertising and marketing law as applied to technology companies.
  • Experience advising on IP aspects of M&A and related transactions.
  • Exposure to fintech, payments, cloud services, AI, government contracts, outsourcing, or digital asset clients.


Compensation

  • $225,000 – $330,000 base salary, depending on experience.
  • Comprehensive benefits including medical, dental, life insurance, paid holidays, sick time, long-term disability, and 401(k).


TL;DR

Mid–senior tech transactions role in DC focused on AI systems, fintech, cloud, and advanced data deals. High-end licensing and commercialization work with strong regulatory adjacency. $225K–$330K base.



About Whistler Partners

Matchmakers, Not Headhunters

Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter.


We readily admit that we are elite and only work with the best – after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs.

Not Specified
Data Integration & AI Engineer
✦ New
Salary not disclosed
Edison, NJ 1 day ago

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.


Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.


The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.


Essential Functions

  • Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
  • Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
  • Provide input for project plans and timelines to align with business objectives.
  • Monitor project progress, identify risks, and implement mitigation strategies.
  • Work with cross-functional teams and ensure effective communication and collaboration.
  • Provide regular updates to the management team.
  • Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
  • Communicates and promotes the code of ethics and business conduct.
  • Ensures completion of required company compliance training programs.
  • Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
  • Stays current through personal development and professional and industry organizations.

Responsibilities

  • Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
  • Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
  • Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
  • Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
  • Ensure data solutions and data sources meet quality, security, and compliance standards.
  • Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
  • Provide technical training, documentation, and ongoing support to end users of data automation systems.
  • Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.


Qualifications

  • A bachelor's degree or higher in computer science, information systems, or a related field.
  • Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
  • Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
  • Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
  • Experience with workflow orchestration tools such as Cloud Composer or Airflow
  • Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
  • Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
  • Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
  • Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
  • Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
  • Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
  • Hands-on experience with IBM DataStage and Alteryx is a plus.
  • Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
  • Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
  • Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
  • Familiarity with data modeling tools.
  • Familiarity with DevOps practices for data (CI/CD pipelines)
  • Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
  • Familiarity with DevOps practices for data (CI/CD pipelines)
  • Strong knowledge and skills in data management, data quality, and data governance.
  • Strong communication, collaboration, and problem-solving skills.
  • Ability to work on multiple projects and prioritize tasks effectively.
  • Ability to work independently and in a team environment.
  • Ability to learn new technologies and tools quickly.
  • The ability to handle stressful situations.
  • Highly developed business acuity and acumen.
  • Strong critical thinking and decision-making skills.


Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.


Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.


Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Not Specified
CDL A Truck Drivers - Multiple Positions - No-touch Freight
✦ New
Salary not disclosed
Pueblo, CO 1 day ago

Hiring CDL-A Truck Drivers


Hirschbach has multiple positions available for CDL-A OTR Solo and Existing Team truck drivers. Whether you are interested in owning your own truck and taking control of your earnings or need a reliable, comprehensive pay and benefits package, we are ready for you to join our team!


Apply now on our website to speak to a recruiter.


OTR Lease Purchase Drivers



  • Solo: net up to $138,000 per year (includes bonuses), running up to 3,000 miles/week
  • Solo base CPM range: $1.12 - $2.85 based on length of haul
  • Teams: net $210,000 - $248,000 per truck per year
  • Team base CPM range: $1.24 - $2.97 based on length of haul
  • Monthly safety & performance incentive up to $0.30/mi
  • Thru 4/1: new OTR hires eligible for $10,000 sign-on/stay bonus (talk to recruiter for terms/details)
  • Stop pay, breakdown pay, layover pay, detention pay
  • $800 driver orientation qualification process pay
  • Run 99% no-touch freight
  • Pet & passenger policy

Lease Purchase Contracts



  • 2023 2026 fully-specced Internationals and Freightliner Cascadias
  • No down payment, no credit check
  • Walkaway lease
  • Lease completion incentive
  • $0.99/gallon fuel, regardless of price at pump
  • Full service maintenance plan: Covers all mechanical parts for $0.10/mi (no out-of-pocket expenses)
  • Average truck payment: $800-$900/wk
  • Trick My Truck: After 1 year, spec your truck your way with custom colors and add-ons

OTR Company Drivers



  • Solos average $65,000 - $80,000 gross per year
  • Solo base pay: $0.50/mi
  • $0.005/mi pay raise every 6 months up to $0.60/mi
  • Teams average $97,000 - $126,000 gross per year
  • Teams base pay: $0.70/mi
  • Monthly safety & performance incentive: $0.15/mi
  • Stop pay, breakdown pay, layover pay, detention pay
  • Thru 4/1: new OTR hires eligible for $10,000 sign-on/stay bonus (talk to recruiter for terms/details)
  • $800 driver orientation qualification process pay
  • Run 99% no-touch freight
  • Pet & passenger policy
  • Hiring pre-existing teams only; refer a teammate and earn $1,200

Company Benefits



  • 2023 2026 fully-specced Internationals and Freightliner Cascadias
  • Medical, dental, & vision through Blue Cross Blue Shield
  • Free $10k life insurance policy
  • Vacation pay after 1 year
  • 401K with company match
  • Critical illness options

*Individual pay varies by route, location, experience level, and performance. Sign-on/stay bonus available for new OTR/Regional drivers hired before April 1, 2026. Talk to recruiter for details.


**There is no deadline to apply. Applications are accepted on an ongoing basis.


Requirements



  • Valid Class A CDL
  • At least 23 years of age
  • 6 months verifiable CDL-A experience

Why Drive for Hirschbach?


Hirschbach is not your typical trucking company. We are driver focused, driver first. We want you to feel like a part of the Hirschbach family. We offer our drivers industry leading 24/7 support, we are here when you need us. Whether you need operations or road assistance, we have someone ready to help you 24/7, year-round.


Our ultra-modern truck fleet comes with the latest features and technology like comfort ride heated and cooled seats, lane assist sensors and large capacity refrigerators. Theyre designed to provide maximum comfort, maximum efficiency, and maximum safety.


Job Type: Full-time


Work Location: On the road

Reference Number: 114

Not Specified
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