Senior Principal Researcher - Cloud and AI Infrastructure Job at Microsoft Corporation (Vancouver)

Senior Principal Machine Learning Engineer

You’ll form a new team of passionate engineers dedicated to building and scaling...

Location

United States

Salary:

222300.00 - 348975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience
12+ years of industry experience in machine learning, data science, or AI, with a proven track record of delivering production-grade ML systems
Deep expertise in Python, Go, or Java, with the ability to write performant, production-quality code
familiarity with SQL, Spark, and cloud data environments (e.g., AWS, GCP, Databricks)
Experience building and scaling ML models for business-critical applications, ideally in security, privacy, anti-abuse, or compliance domains
Strong communication skills, able to explain complex ML concepts to diverse audiences and influence stakeholders
Demonstrated ability to solve ambiguous, complex problems and drive projects from ideation to production
Agile development mindset, with a focus on iterative improvement and business impact

Job Responsibility

Lead AI/ML Strategy for Trust: Drive the development and implementation of advanced machine learning algorithms and AI systems for Trust, Security, Product Abuse, and Compliance use cases (e.g., threat detection, vulnerability management, privacy automation, AI safety)
Architect and Scale ML Platforms: Design and build scalable, secure, and reliable ML infrastructure and pipelines, ensuring compliance with privacy and regulatory requirements
AI Safety and Responsible AI: Develop and champion AI safety practices, including output moderation, explainability, and alignment with evolving regulatory frameworks
Cross-Functional Collaboration: Partner with product, engineering, security, privacy, and analytics teams to deliver transformative AI/ML solutions that enhance Atlassian’s trust posture
Mentorship and Leadership: Mentor and guide ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
Innovation and Research: Stay at the forefront of AI/ML research, evaluating and applying the latest techniques (e.g., LLMs, anomaly detection, privacy-preserving ML) to real-world Trust challenges
Platform Enablement: Build reusable ML services and APIs that empower other teams to integrate AI/ML into their products and workflows
Operational Excellence: Ensure high availability, reliability, and security of all ML-powered Trust platforms and services

What we offer

health and wellbeing resources
paid volunteer days
benefits, bonuses, commissions, and equity

Fulltime

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Senior Principal Engineer- End-to-End AI Training Framework

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Drivi...

Location

United States , Sunnyvale

Salary:

240000.00 - 320000.00 USD / Year

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems
10+ years of experience in software development and system engineering for autonomous driving or ADAS applications
Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments
Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques
Deep knowledge of AI frameworks such as TensorFlow and PyTorch
Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware
Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets
Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Job Responsibility

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling
Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets
Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem
Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions
Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability
Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement
Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence

What we offer

health, dental, and vision plans
health savings accounts (HSA)
flexible spending accounts
401(K) retirement plan with an attractive employer match
wellness programs
life insurance
long term disability insurance
paid time off
parental leave

Fulltime

Senior Principal, Machine Learning & Artificial Intelligence

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligenc...

Location

United States , North Bethesda

Salary:

150000.00 - 196000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
Proven ability to influence without direct authority and drive change across organizations
Strong communication and presentation skills
you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership
Track record of identifying and delivering measurable business impact via ML/AI - e.g., revenue growth, cost savings, improved efficiency

Job Responsibility

Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business
Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints
Mentorship of individuals and technical teams
Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech
translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization

What we offer

annual bonus
401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Senior Principal, Machine Learning & Artificial Intelligence

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligenc...

Location

United States , Waltham

Salary:

150000.00 - 196000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
Experience in 3D modeling / geometry / computer vision / generative models (e.g., point-cloud processing, mesh processing, text23D, image23D, CAD/CAM integration) is highly desirable
Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
Proven ability to influence without direct authority and drive change across organizations
Strong communication and presentation skills
you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership

Job Responsibility

Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business
Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints
Mentorship of individuals and technical teams
Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech
translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Product Manager - Microsoft Foundry (CoreAI)

The Foundry Inference & Training team is responsible for advancing Microsoft’s m...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Strategic Execution and Operating Rhythm
Translate leadership priorities into clear execution plans, milestones, and success metrics across Foundry Inference & Training
Establish and run the operating cadence including planning cycles, reviews, executive readouts, and follow-ups
Track commitments and dependencies across engineering, research, infrastructure, and partner teams, ensuring risks and gaps are surfaced early
Cross-Team Alignment and Influence
Act as a connective layer across teams working on model training, data, infrastructure, and platform integration
Drive alignment on goals, timelines, and decision points across multiple senior stakeholders
Resolve ambiguity by framing tradeoffs, options, and recommendations grounded in technical and business context
Program Leadership and Delivery
Lead complex, multi-quarter programs with high visibility and executive attention

Fulltime

Principal Product Manager – Network as a Service, NaaS - Platforms

The Network as a Service (NaaS) team at T-Mobile is an emerging business unit fo...

Location

United States , Bellevue

Salary:

133800.00 - 241400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Deep expertise in platform product management, including API-driven and cloud-based platforms
Strong business acumen, aligning platform vision with enterprise strategy and customer needs
Experience managing cross-product platform capabilities, ensuring scalability, security, and efficiency
System thinking, with an ability to break down complex technical systems into modular and reusable components
Proven leadership, coaching, and mentoring skills, fostering a growth mindset across teams
Exceptional communication and influence, engaging senior executives and cross-functional stakeholders
Strong technical program management expertise, with experience managing end-to-end delivery of complex platform solutions
Bachelor's Degree in Engineering, Business, or related field
10+ years of Product Management experience, ideally in network services, platforms, or enterprise SaaS
Proven track record of owning and scaling enterprise platform products

Job Responsibility

Define and own NaaS platform vision, strategy, and roadmap, ensuring alignment with business, technical, and product needs
Partner with product managers to translate individual product requirements into scalable, reusable platform capabilities
Apply system thinking to design robust, scalable, and modular platform solutions that serve multiple use cases
Conduct competitive analysis and industry research to ensure platform innovation and technical differentiation
Secure funding for platform initiatives, building strong business cases and conducting ROI analysis
Lead end-to-end execution, including defining platform scope, managing roadmaps, and ensuring seamless integration across NaaS products
Work closely with engineering, architecture, and DevOps teams to deliver secure, scalable, and high-performing platform solutions
Own and prioritize the platform product backlog, balancing feature development, technical debt, and business priorities
Ensure compliance with security, data privacy, and regulatory standards across NaaS platform solutions
Drive technical program management efforts, ensuring efficient execution, risk mitigation, and dependency management

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Principal Software Engineer 6 - (Backend & Agentic Execution Platform)

FreeWheel’s Programmatic Demand team is looking for a Principal Engineer to help...

Location

United States , Chicago; Englewood; Denver

Salary:

180337.97 - 277420.95 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience
15+ years building and operating scalable, distributed systems
ad tech / media / programmatic experience strongly preferred
Deep expertise in system design and technical architecture, including ownership of complex systems in production
Strong coding ability in one or more of: Python, Java, Go, C++ (performance, concurrency, and distributed computing)
Experience building and operating cloud-native services on AWS (or equivalent) including infrastructure-as-code
Demonstrated ability to own and manage technical backlogs, influence prioritization, and drive execution across multiple teams
AI / Agentic Systems Experience (Strongly Preferred)
Experience designing “tooling” APIs intended for automation (human and machine clients)
Familiarity with modern AI/agent patterns (tool calling, RAG, evaluation/monitoring)

Job Responsibility

Collaborates with project stakeholders to identify product and technical requirements
Designs and oversees new software and web applications
Trains and mentors software engineers
Oversees the researching, writing, and editing of documentation and technical requirements
Keeps current with technological developments within the industry
Provides technical leadership throughout the design process
Assists in tracking and provides performance metrics
Works with Quality Assurance team
Leads project planning, resourcing, requirement analyzing and defining
Presents and defends architectural, design and technical choices

What we offer

Paid Time off
Physical Wellbeing benefits
Financial Wellbeing benefits
Emotional Wellbeing benefits
Life Events + Family Support benefits

Fulltime

Senior Principal Researcher - Cloud and AI Infrastructure

Microsoft Corporation

Location:
Canada , Vancouver

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 01, 2026

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