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About Us

We’re continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.

The Opportunity

The goal is to have interns turn into full time employees; Therefore, you will be given full time responsibilities day one. To add onto that, you will be working in a high velocity growth startup and will be required to move fast. You’ll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.

Compensation Structure

Base position is unpaid, however qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.

About the Role

We’re hiring for an AI Engineer. To be considered, you must have a deep expertise in a focus and some knowledge of the latter.

Requirements

• Deep specialization in one of these areas: Agentic AI (Claude Agent SDK, MCP Servers, Tool Use) + Node.js/TypeScript + AWS + RAG

• Strong understanding of modern practices and version control (Git)

• Ability to work collaboratively within a specialized team structure

• Passion for building production-ready, scalable systems

Nice to Have

• Experience working in team environments with separated responsibilities

• Understanding of production AI deployment

• Experience with Claude Code, MCP server development, or agentic AI frameworks

• Previous experience with healthcare or regulated industries

What You’ll Build

• Agentic AI systems: Autonomous agents using Claude Agent SDK, MCP servers, and tool use for domain-specific workflows, combined with RAG for knowledge retrieval via Bedrock

• Node.js API services: Production AI inference endpoints and services integrated into our existing Node.js/MongoDB platform + Voyage AI vector database management

• AWS AI services: Lambda-based inference, Bedrock integration

• Semantic search & MCP integrations: Knowledge extraction and contextual Q&A systems using S3 Vectors, Mongo DB Atlas and OpenSearch (hybrid search), exposed via MCP servers for agent consumption

Key Responsibilities

• Conduct exploratory data analysis to identify patterns in complex healthcare datasets

• Build agentic AI systems using Claude Agent SDK, MCP servers, and tool use, alongside RAG pipelines with AWS Bedrock and vector databases

• Manage vector databases: Mongo DB/S3 Vectors

• Develop document processing pipelines for text extraction and analysis

• Create production Node.js services for real-time AI inference, integrated with our MongoDB data layer

• Implement semantic search and knowledge extraction from document repositories

• Design Lambda-based inference systems on AWS

• Integrate LLMs via agentic frameworks (Claude Agent SDK, MCP) for domain-specific autonomous workflows and Q&A systems

• Develop ETL processes for external data sources and APIs

Required Qualifications

Candidates must meet all Core Qualifications.

Core Qualifications

• Node.js/TypeScript programming skills

• Git for version control

• Understanding of deployment and production systems

• Collaborative development workflows

AI/ML Development

• Experience building production AI services in Node.js/TypeScript

• 1+ years with AWS services (Lambda, Bedrock, S3, EC2) and agentic AI frameworks (Claude Agent SDK, MCP servers, tool use)

• RAG development experience with vector databases

• NLP/Document processing expertise (text extraction, classification, information retrieval)

Nice to Have

• Healthcare or regulated industry experience

• Experience with Claude Code and agentic development workflows

• Experience with Hugging Face transformers and LLMs

• MongoDB experience and familiarity with aggregation pipelines

• Time-series forecasting and anomaly detection

• Advanced statistical modeling (survival analysis, propensity scoring)

• Knowledge of data privacy and compliance frameworks

Technical Stack

AI/ML Development: Node.js/TypeScript, AWS (Bedrock, Lambda, S3, EC2), Agentic AI (Claude Agent SDK, MCP Servers, Tool Use, Claude Code), MongoDB, Vector Databases (S3 Vectors, OpenSearch), NLP libraries (sentence-transformers), Git

Our Hiring Process

We believe in a transparent and thorough selection process that respects your time while ensuring mutual fit:

Initial Screening Call

We’ll discuss your background, experience, and career goals, while providing an overview of the role and our team culture.

Technical Challenge (issued on case by case basis)

You’ll receive a real-world technical challenge to complete within a specified timeframe. We encourage you to leverage all available resources—including AI tools, documentation, and libraries—just as you would in a production environment. This reflects how we actually work and allows you to showcase your problem-solving approach.

Technical Interview

We’ll have an in-depth discussion about your solution and explore related technical concepts. You should be prepared to walk through every aspect of your submission—explaining architectural decisions, code logic, trade-offs, and potential improvements. Whether you wrote the specific code section manually or generated it with AI assistance, you must demonstrate complete ownership and understanding of the entire codebase. This is a production-level assessment: we expect you to discuss, debug, and defend your work as if it were going live tomorrow.

We’re looking for engineers who can think critically, adapt their approach, and truly understand the systems they build—not just those who can generate code.

Ready to apply? We look forward to hearing from you!

MedLaunch is an equal opportunity employer committed to diversity and inclusion.

Manhattan Active WMS Tech Analyst Direct Hire Remote

Tier4 Group is seeking a driven IT MAWM Technology Analyst to support and evolve enterprise‑wide IT initiatives centered on Manhattan Active Warehouse Management (MAWM). In this role, you’ll be a key contributor to system configuration, integrations, extensions, and advanced support—helping ensure our technology ecosystem scales with current and future business needs.

You’ll collaborate closely with IT, business partners, vendors, and QA teams while owning complex configurations, integrations, and L2/L3 troubleshooting in a fast‑paced warehouse and supply chain environment.

What You’ll Do

• Configure and support MAWM solutions using Manhattan Configuration Tools, Config Director, and APIs
• Design, develop, and maintain RESTful API integrations (JSON/XML) between MAWM and third‑party systems such as ERP and TMS
• Create, deploy, monitor, and manage MAWM extension packs using ProActive
• Provide L2/L3 production support, including deep technical troubleshooting, root‑cause analysis, and issue resolution
• Partner with IT, business stakeholders, and vendors to understand, document, and enhance business and technical requirements
• Participate in the design, build, testing, validation, implementation, and ongoing support of application and infrastructure solutions
• Collaborate with IT, QA, and business teams on test planning and execution
• Produce and maintain technical documentation, including:
• Configuration and extension specifications
• System architecture diagrams
• Integration mappings and API documentation
• Support enterprise initiatives by ensuring MAWM aligns with evolving operational and strategic goals

What You Bring

• Bachelor’s degree in Computer Science, Information Technology, Supply Chain, or a related field
• 2+ years of hands‑on experience with Manhattan Active WMS (MAWM)
• Proven experience deploying and managing MAWM extensions using ProActive
• Strong expertise in:
• Manhattan Configuration Tools & Config Director
• API development and integration (REST, JSON/XML)
• Postman scripting and testing
• Experience integrating MAWM via MIF with external systems (ERP, TMS)
• Solid understanding of warehouse operations and supply chain processes
• Excellent analytical, problem‑solving, and troubleshooting skills
• Strong communication skills with the ability to work calmly and effectively under pressure

Nice to Have

• Experience supporting distribution centers or warehouse environments, especially in:
• Food & Beverage
• Pharmaceuticals or other regulated industries

Why This Role

• 100% remote opportunity (within select states)
• Direct impact on enterprise‑level warehouse technology
• Collaborative, cross‑functional environment
• Opportunity to work deeply with a modern Manhattan Active platform

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Purpose

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.

You’ll Be Successful With

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
• 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
• Proven track record of moving models from development into production which deliver measurable impact to the business.
• Expert proficiency in Python and SQL. Comfortable with version control.
• Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
• Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
• Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
• You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
• The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
• Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
• Strong intellectual curiosity with a bias toward action and continuous improvement.
• Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of

• Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
• Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
• Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
• Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
• Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
• Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
• Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
• Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
• Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
• Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
• Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel, hours, environment)

• Limited travel required including air and car travel
• While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.

Physical/Sensory Requirements

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Benefits & Rewards

• Bonus opportunities at every level
• Non-traditional retail hours (we close at 7p!)
• Career advancement opportunities
• Relocation opportunities across the country
• 401k with discretionary company match
• Employee Stock Purchase Plan
• Referral Bonus Program
• 80 hrs. annualized paid vacation (full-time associates)
• 4 paid holidays per year (full-time hourly store associates only)
• 1 paid personal holiday of associate’s choice and Volunteer Time Off program
• Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

The Opportunity

The Institute of Simulation and Training (IST) at the University of Central Florida (UCF) is seeking applicants for a full-time, 12-month, non-tenure earning, digital asset and engineer-oriented, research position.This is a full-time Contract and Grants (C&G)-based faculty position to support ongoing federally sponsored research in a long-standing and agile R&D lab. For information about the Institute for Simulation and Training and the Orlando area, see .

We are searching for an Assistant In Digital Asset Research and Production Engineer with expertise in computer visualization, 3D modeling, and immersive technologies to support the design, development, and implementation of next-generation visual simulations and intelligent training systems. The successful candidate will join a multidisciplinary team conducting applied research in simulation-based training, modeling, and opportunity-based training systems.

This position requires an experienced researcher who will work both independently and as a team member to design, develop, modify, test, document, and maintain simulation software products.

Key Responsibilities

• 
  

• Design, develop, and implement 3D environments, frameworks, and prototypes for high-fidelity visual simulations and applications.

  
  

• Apply 3D models, advanced character mesh techniques, and physics-based simulation methods to enhance realism and interactivity in diverse domain systems and applications.

  
  

• Work with interdisciplinary teams including engineers, cognitive scientists, and domain experts to define research objectives, design experiments, and analyze results.

  
  

• Create prototypes and capabilities demonstrators to showcase IST's expertise aligned with trends and opportunities.

  
  

• Design and execute hands-on demonstrations and exhibits at strategic events.

  
  

• Perform data collection in the form of LiDAR, photogrammetry, and other advanced techniques to evolve advanced terrestrial-based synthetic environments.

  
  

Minimum Qualifications:

A master's degree from an accredited institution in a field related to modeling and simulation and two years of related professional experience or a bachelor's degree from an accredited institution in a field related to modeling and simulation and five years of related professional experience.

Significant experience or education required in at least three of the following areas:

• 
  

• 3D modeling tools such as Adobe Substance, Creator, Blender, or 3D Studio Max

  
  

• AutoDesk software systems

  
  

• Geospatial algorithms

  
  

• 3D game engine modeling formats

  
  

• Character and model rigging using modern game engine approaches (Unity, Unreal)

  
  

• Modern terrain generation software

  
  

Preferred Qualifications:

Experience or education is preferred in any of the following areas:

• 
  

• OpenFlight file format and visual database correlation.

  
  

• NIMA data processing

  
  

• Cartography

  
  

• 3D Model/Character creation for modern game engines.

  
  

• Digital twin creation

  
  

• Data acquisition through ground-based LiDAR-based systems such as Leica or Faro systems

  
  

• Intrinsic game engine API scripting capabilities such as C# and/or Python

  
  

• Familiarity with understanding of producing correlated geospecific terrain

  
  

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.

  
  

NOTE: Please have all documents ready when applying so they can be simultaneously uploaded. 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 to: Dean Reed at .

Special Instructions to the Applicants:

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.

Position requires U.S citizenship for a University-sponsored application for a security clearance. This position is funded by contract and grant sources and is contingent upon available funding.

Job Close Date:

Open until filled.

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 Guideclick 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

Work Schedule

Type of Appointment

Expected Salary

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 .

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.

We're looking for a Senior Backend Engineer to help design, build, and scale tvScientific's contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability.

You'll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales.

This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach.

What you'll do:

• 
  
• Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
  
• Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model
  
• Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
  
• Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
  
• Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
  
• Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
  
• Improve system observability, reliability, and performance as contract volume and complexity scale
  
• Own backend services and data models related to contracts and billing
  
• Lead technical design discussions and make pragmatic architectural decisions
  
• Write clean, well-tested, and maintainable code with a strong focus on correctness
  
• Drive improvements in data consistency, validation, and error handling across contract workflows
  
• Review code and mentor other engineers, setting a high bar for backend quality
  
• Collaborate cross-functionally to support new deal structures and evolving business models
  

What we're looking for:

• 
  
• Experience with billing/contract mechanisms (specifically affiliate platforms)
  
• Bachelor's degree in computer science, a related field or equivalent experience
  
• Experience building large-scale full-stack products.
  
• Deep understanding of web development and best practices in React/Redux
  
• Strong experience with programming languages Javascript and Python/Java
  
• Strong software engineering principles and practices
  
• Strong collaboration and communication skills
  
• Nice-to-Haves:
  
  • 
    
  • Experience working closely with finance or accounting teams
    
  • Background in building audit-friendly or compliance-sensitive systems
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

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

#LI-SM4

#LI-REMOTE

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:

Looking for a Gen AI architect with 15+ years experience and 8+years experience focusing on Model Optimization, Fine-Tuning & Strategic AI in San Francisco, CA.

Role Summary:

You represent the pinnacle of Applied AI engineering. You are not just using APIs; you are optimizing the models themselves. You understand the mathematics behind the attention mechanism, you know how to squeeze performance out of GPUs, and you can customize models for specific domains. You provide the high-level technical vision and handle the most difficult edge cases. .

Key Responsibilities:

Model Fine-Tuning: Implement PEFT (Parameter-Efficient Fine-Tuning), LoRA, and QLoRA to adapt open-source models (Llama 3, Mistral) to specific client domains.

Optimization & Quantization: Perform model quantization to reduce inference costs and latency without sacrificing quality. Manage Dense Vectors and embedding optimizations.

State-of-the-Art Exploration: Continuously research and implement the latest advancements (e.g., State Space Models, Long-Context optimizations) into client deliverables.

Strategic Consulting: Act as a trusted advisor to C-level client executives, defining the "Art of the Possible" and guiding long-term AI roadmaps.

Technical Requirements:

Deep Learning: PyTorch/TensorFlow, Transformers architecture internals, Attention mechanisms.

Model Ops: Serving custom models (vLLM, TGI), GPU memory management, Quantization techniques (GGUF, AWQ).

Advanced Data: Training data curation, synthetic data generation, RLHF concepts.

Tech Leadership: Ability to define the technical culture and set standards for the entire FDE organization.

Soft Skills:

Executive communication and ability to influence C‑level leaders.

Thought leadership and industry presence (conferences, playbooks, forums).

Cross‑org leadership and conflict resolution.

Ability to define long‑term AI vision and cultural standards.

Strategic decision‑making balancing cost, risk, and performance.

Senior Platform Architect

Reports To: Director of Engineering

Department: Engineering

Location: Hybrid - Atlanta, GA

What makes MTech different:

Purpose-Driven Work – Build technology that solves real problems for the world

Casual & Collaborative – No corporate bureaucracy, direct access to senior leadership

Innovation-Focused – Healthy innovation pipeline expanding into new segments and technologies

Transparent & Data-Driven – Clear metrics, objectives, and visibility into company performance

Modern Development – Robust development tools, training programs, and technical excellence

Flexibility & Balance – Flexible work environment that values results over presenteeism

Job Summary

The Senior Platform Architect will lead the technical architecture, design, and modernization of large-scale, multi-tenant enterprise SaaS platforms built on Azure and the .NET stack. This role requires mastery of distributed systems, cloud-native design, and advanced engineering practices to deliver highly available, performant, and secure solutions for global consumer-facing SaaS and Agentic AI products.

Responsibilities and Duties

Architectural Design & Transformation

• Lead migration from monolithic systems to modular monolith and microservices architectures using domain-driven design, bounded contexts, and decomposition strategies.
• Design multi-tenant SaaS platforms with advanced tenant isolation, resource partitioning, and elastic scaling using Azure services.
• Define and enforce architectural standards for .NET (C#), TypeScript, Angular, SQL Server, and Azure, including dependency injection, SOLID principles, asynchronous programming, and reactive patterns.
• Design and implement distributed systems: service orchestration, API gateway management, IoT, edge computing, distributed transactions, eventual consistency, CQRS, and event sourcing.
• Architect for cloud-native resiliency: circuit breakers, bulkheads, retries, failover, geo-redundancy, and disaster recovery using Azure App Services, Azure Functions, Service Bus, Cosmos DB, and Azure SQL.
• Develop and maintain architecture documentation, reference models, and decision records using industry frameworks (TOGAF, Zachman, C4 Model).

Performance Engineering & Observability

• Establish and monitor platform SLOs (latency, throughput, error rates, availability) mapped to customer SLAs.
• Architect and implement advanced caching strategies, indexing, and query optimization for SQL Server and NoSQL stores in coordination with Senior Data Architect, Data Engineers, and Database Admins.
• Design and implement telemetry pipelines: distributed tracing (OpenTelemetry), structured logging, metrics collection, and real-time dashboards for system health and diagnostics.
• Conduct performance profiling, load testing, and capacity planning for backend services and frontend applications.

Automation, Quality, and DevOps

• Architect and implement CI/CD pipelines with automated build, test, security scanning, and deployment workflows.
• Integrate static code analysis, code coverage, and quality gates into the development lifecycle.
• Design and enforce automated testing strategies: unit, integration, contract, and end-to-end tests for backend and frontend components.
• Develop infrastructure as code (IaC) solutions for repeatable, scalable cloud provisioning.
• Create incident response playbooks for rollback, failover, and recovery, drive down MTTR and automate remediation where possible.

Security, Compliance, and Governance

• Architect for multi-tenant security: authentication/authorization (OAuth2, OpenID Connect), encryption at rest and in transit, secrets management, and compliance with SOC 1, SOC 2, GDPR, and other regulatory standards.
• Implement secure software development lifecycle (SSDLC) practices, threat modeling, and vulnerability management, including ZDR, DLP, No Model Training policies with AI Models.
• Ensure architectural governance and alignment with enterprise frameworks (TOGAF, Zachman), maintain architecture decision records, and participate in architecture review boards.

Technical Leadership & Collaboration

• Mentor engineering teams in advanced architectural concepts, distributed systems, cloud-native development, and best practices.
• Collaborate with Data Architect, DevOps, IT Services, Engineering and Product Management teams to ensure platform extensibility, integration, and support for complex business requirements.
• Evaluate and integrate AI/ML services, advanced analytics, and developer productivity tools to enhance platform capabilities.
• Champion a culture of technical excellence, continuous improvement, and innovation.

Required Experience & Skills

• Minimum 10+ years in software/platform engineering, with at least 8 years in platform architecture for enterprise SaaS on Azure and .NET tech stack.
• Proven experience architecting and delivering large-scale, multi-tenant SaaS platforms for global consumer-facing products.
• Deep expertise in .NET (C#), Azure cloud services (App Services, Functions, Service Bus, Cosmos DB, SQL Server), Azure Open AI, Microsoft Agent Framework, TypeScript, Angular, CI/CD, automated testing, and observability.
• Mastery of distributed systems, cloud-native patterns, event-driven architectures, and microservices.
• Demonstrated success in technical debt reduction, performance engineering, and architectural modernization.
• Experience with architectural frameworks (TOGAF, Zachman, C4 Model), architectural governance, and compliance.
• Strong understanding of platform security, regulatory compliance, and multi-tenant SaaS challenges.

Success Metrics (First 12 Months)

• Reduction in platform-related incidents/support tickets.
• Improvement in deployment speed and release velocity.
• Reduction in MTTR for platform incidents.
• Achievement of modularization milestones (monolith decomposition, service rollout, platform observability in production).
• Increase in automated test coverage, code quality, and system performance metrics.

Preferred Skills & Certifications

• TOGAF, Zachman, or similar architecture certification.
• Advanced knowledge of event sourcing, CQRS, service mesh, and cloud-native security.
• Familiarity with semantic technologies, knowledge graphs, and AI/ML integration.
• Hands-on experience with infrastructure as code, automated testing tools, and modern DevOps practices.
• Strong background in platform security, compliance, and multi-tenant SaaS challenges.

EEO Statement

Integrated into our shared values is MTech’s commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. MTech aims to maintain a global inclusive workplace where every person is regarded fairly, appreciated for their uniqueness, advanced according to their accomplishments, and encouraged to fulfill their highest potential. We

We are seeking a Senior Robotic Simulation Engineer with deep, hands-on expertise in building high-fidelity simulation environments and synthetic data pipelines using NVIDIA Isaac Sim or similar.

In this role, you will directly contribute to the development of scalable, realistic virtual worlds that power the training and validation of robotic foundation models for perception, planning, and manipulation.

At GM’s manufacturing technology development team, you’ll work closely with robotics and AI teams within the Manufacturing Technology Development (MTD) team to create simulation scenes that replicate complex manufacturing environments, generate diverse synthetic datasets, and build robust data workflows that accelerate model development and deployment.

Key Responsibilities • Build and customize simulation scenes in Isaac Sim that accurately reflect real-world robotic tasks and factory layouts • Develop synthetic data generation pipelines, including randomized object placement, sensor simulation, and multi-modal annotations (RGB, depth, segmentation, point clouds) • Implement and maintain data processing workflows, ensuring data quality, traceability, and compatibility with ML training pipelines • Optimize simulation performance and realism, tuning physics parameters, asset fidelity, and rendering configurations for scalable experimentation • Collaborate with robotics engineers and ML scientists to align simulation outputs with model requirements and support sim2real transfer • Conduct hands-on testing and debugging, iterating on simulation setups and synthetic data strategies to improve model robustness • Document workflows and contribute to best practices, enabling reproducibility and knowledge sharing across teams Required Qualifications • MSc or PhD in Robotics, Computer Graphics, Computer Vision, or related field • 3+ years of hands-on experience in robotics simulation, synthetic data generation, or virtual environment development • Proficiency with Isaac Sim, Omniverse, or similar simulation platforms • Strong programming skills in Python and C++, with experience in simulation APIs and data annotation tools • Familiarity with 3D vision, sensor modeling, and domain randomization techniques • Experience integrating simulation outputs into ML pipelines for training and evaluation Preferred Qualifications • Experience with robotics frameworks (e.g., ROS/ROS2, MoveIt, Nav2) • Experience with robotics simulation platforms (e.g., IsaacSim, MoJoCo, Gazebo) or Game engine (e.g., Unreal, Unity) • Background in industrial automation, autonomous vehicles, or robotic manipulation • Publications or contributions in simulation, synthetic data, or robotics venues (e.g.

ICRA, RSS, CVPR) • Familiarity with CI/CD pipelines and modern software development practices such as Bash, Github, Bazel, Docker

The pay range for this role is $150,000 - $200,000/yr USD.

WHO WE ARE:

Headquartered in Southern California, Skechers—the Comfort Technology Company®—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.

ABOUT THE ROLE:

Skechers Digital Team is seeking a Digital Data Architect reporting to the Director, Digital Architecture, Consumer Domain. This role is responsible for designing and governing Skechers’ Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.

The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher’s consumer domain, and have the ability to work in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices).

You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advanced personalization and recommender systems.

WHAT YOU’LL DO:

• Responsible for the full technical life cycle of consumer platform capabilities which includes:
• Capability roadmap and technical architecture in alignment to consumer experience
• Technical planning, design, and execution
• Operations, analytics/reporting, and adoption
• Define and evolve Skechers’ Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles.
• Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms.
• Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability.
• Optimize SQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies.
• Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems.
• Partner with Data Science teams to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred).
• Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations.
• Provide architectural oversight ensuring performance, scalability, resilience, and maintainability.
• Collaborate with stakeholders to translate business objectives (LTV growth, personalization lift, engagement) into scalable data solutions.

REQUIREMENTS:

• Computer Science, Data Engineering, or related degree or equivalent experience.
• 12+ years experience architecting enterprise data platforms in cloud environments.
• 9+ years experience with data engineering with a focus on consumer data.
• 6+ years experience working with Salesforce platforms, including data models and enterprise integrations.
• Strong experience with Data 360 and identity resolution architectures.
• Proven expertise in SQL performance tuning and large-scale data modeling.
• Hands-on experience implementing ML pipelines and recommender systems in production environments.
• Experience with cloud technologies (AWS, GCP, or Azure).
• Experience with integration patterns (API, ETL, event streaming).
• Experience providing technical leadership and guidance across multiple projects and development teams.
• Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
• Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
• Must hold at least one of the following Salesforce Certifications (Platform App Builder, Platform Developer 1, JavaScript Developer 1).
• Experience with Databricks or similar distributed data/ML platforms preferred.