Senior Principal Engineer- End-to-End AI Training Framework Job at Robert Bosch Sp. z o.o. (Sunnyvale)

Principal AI Engineer

As a Principal AI Engineer on the AI Foundations team, you are an established su...

Location

Singapore , Singapore

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or related technical field
advanced degree preferred
Strong foundation in software engineering, distributed systems, and applied machine learning relevant to production AI systems
Demonstrated understanding of responsible AI, model/system risk, privacy/security considerations, and governance requirements for enterprise deployments
Demonstrated, sustained ownership of production AI/ML systems, including design, build, deployment, and ongoing lifecycle operations
Real-world experience shipping complex agentic systems into production, including multi-agent coordination and multi-tool integration with safe action policies
Hands-on experience building production pipelines for evaluation, monitoring, versioning, and continuous improvement (including retraining or policy/guardrail updates)
Proven ability to define and operationalize observability and reliability practices for agentic systems (traceability, telemetry, SLOs, incident management)
Track record of influencing architecture and standards across multiple teams or programs, and mentoring engineers to raise overall engineering rigor

Job Responsibility

Serve as an established subject matter expert in AI Engineering, influencing stakeholders and shaping technical direction across multiple initiatives
Architect, design, develop, and maintain advanced AI/ML systems, with emphasis on complex agentic solutions (multi-agent orchestration, tool/function-calling, memory, reflection/self-correction, and autonomy policies)
Lead production implementation of agentic AI systems, including scalable training and evaluation pipelines, deployment frameworks, and runtime orchestration patterns
Define and implement safe tool-use patterns: structured outputs, robust error handling, permissioning and auditability, human-in-the-loop (HITL) approval steps for sensitive actions, and guardrail enforcement
Establish end-to-end AgentOps/LLMOps practices for agentic systems: release pipelines for prompts/tools/policies, canary strategies, safe rollback mechanisms, and continuous regression/safety evaluations as release gates
Build and optimize data ingestion, preprocessing, feature/embedding engineering, and retrieval/memory workflows to improve grounding quality and reduce failure modes
Own production observability for agentic systems: trace capture, cost/token telemetry, latency and reliability SLOs, and incident response practices for agent failures
Implement drift detection and performance decay monitoring (data drift, concept drift), and automate model/agent retraining, policy updates, and redeployment to maintain output quality over time
Drive measurable improvements in system effectiveness, safety, and efficiency by defining success metrics (task success, intervention rate, policy violations, cost and latency per task) and continuously improving evaluation coverage
Mentor and grow senior and junior engineers through design reviews, code reviews, hands-on coaching, and the creation of reusable patterns, playbooks, and standards for agentic delivery

Fulltime

Principal AI Solutions Architect

You'll be the technical owner for a small portfolio of strategic accounts — typi...

Location

United States , San Francisco

Salary:

170000.00 - 260000.00 USD / Year

Strategic Employment Partners

Expiration Date

Until further notice

Requirements

5+ years in a customer-facing technical role — Solutions Architect, Customer Engineer, SRE, or Senior Support Engineer at an infra company. You've owned strategic accounts before.
Deep cloud-native chops: Kubernetes, service mesh (Istio, Cilium), API gateways and proxies (Envoy or similar). You've debugged these in production, not just deployed them.
1+ years hands-on with AI/ML infrastructure — LLMs, agentic frameworks, model-serving platforms, inference gateways. You don't need to have trained a model, but you should understand how production AI traffic actually flows.
Scripting/programming comfort in Go, Python, or Bash. You'll write diagnostics, automation, and reference code.
The ability to talk to a platform engineer at 10am and a CTO at 2pm without changing who you are.

Job Responsibility

Architect their AI infrastructure layer. LLM gateways with auth, rate limiting, and observability. Agent-to-agent communication patterns. Securing inference traffic across multi-cloud environments. Most of our customers haven't done this before — you have, or you'll figure it out alongside the engineering team and write the playbook everyone else uses.
Run technical issue resolution end-to-end. When something escalates, you partner with Support and Engineering, drive root cause, and often dig in directly. We expect Principal-level architects to get their hands dirty when it accelerates the outcome — reading code, reproducing issues, writing reference implementations.
Drive deep adoption. You'll consult on performance tuning, deployment patterns, and operational best practices. You'll spot new use cases inside the account and bring them forward.
Influence the product. You sit closer to real production AI workloads than almost anyone in the company. Product Management and Engineering treat your feedback as a primary signal for the roadmap.
Partner with the account team (CSM, AE, SE) on risk, renewal, and expansion — but you're the technical voice in the room, not the commercial one.

What we offer

Laptop + WFH stipend + monthly phone/internet allowance
Premium-paid healthcare
Equity
Flexible hours

Fulltime

Senior Principal Technical Program Manager

Microsoft Research is working to transform the future of artificial intelligence...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
6+ years of experience managing cross-functional and/or cross-team projects
Experience leading large-scale skilling and/or adoption programs to motivate org-scale teams to adopt to rapid changes in AI-driven work
Experience utilizing or designing engineering systems (tools and developer experiences) for large-scale machine learning, reinforcement learning, or generative AI workloads
1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos), ideally including experience using AI coding agents (Copilot, Claude, Codex, etc.)
Working knowledge of AI infrastructure tradeoffs - i.e. memory, network (Infiniband, NVLINK, etc.), storage systems, distributed training parallelisms and/or orchestration and scheduling frameworks (Kubernetes, Volcano, SLURM)
Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience
8+ years of experience managing cross-functional and/or cross-team projects

Job Responsibility

Drive cross-team projects and programs for the AI tools and engineering system that support Microsoft Research’s Artificial Intelligence (AI)/Machine Learning (ML) infrastructure including end-to-end planning, timelines, milestones, and performance metrics
Research and define a seamless agent-first (Copilot, Claude, Codex, etc.) experience that accelerates both inner-loop and outer-loop research activities
Drive initiatives to generate rapid engagement with emerging techniques in agentic research and coding
Use AI coding agents to explore new ideas and create examples for people of all disciplines to follow your lead
When appropriate, contribute directly to our engineering system and tools
Collaborate with researchers, engineers, product teams, and external partners to identify gaps and drive timelines toward resolution and mitigation
Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of adoption and skilling programs
Foster a culture of collaboration, continuous improvement, and growth
Communicate program strategies, progress, and results to executive leadership and key stakeholders across Microsoft Research, advocating for quality, security, and efficiency within the team

Fulltime

Principal Engineer - Marketplace

Principal Engineer role in the Marketplace Engineering team to lead breakthrough...

Location

United States , San Francisco; Sunnyvale

Salary:

302000.00 - 336000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
10+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
Advanced Deep Learning and Neural Network architectures
Scalable ML architecture and distributed model training

Job Responsibility

Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Develop and enforce best practices in system design, ensuring data integrity, security, and optimal performance
Serve as a representative for the Marketplace organization to the broader internal and external technical community
Contribute to the eng brand for Marketplace and serve as a talent magnet to help attract and retain talent for the team
Stay abreast of industry trends and emerging technologies in software engineering, focused particularly on ML/AI, to enhance our systems and processes continually
Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits (details at provided link)

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

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 AI Research Scientist

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. ...

Location

Finland , Tampere

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

PhD in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
+5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience
Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Senior AI Research Scientist

We are seeking highly skilled and innovative Machine Learning Scientists to join...

Location

United Kingdom , London

Salary:

Not provided

Axon

Expiration Date

Until further notice

Requirements

PhD in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI
+5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience
Proven track record of research excellence demonstrated through publications in top-tier conferences or journals
Strong proficiency in programming languages such as Python, C/C++
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience with ROS or robotic operational system
Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Job Responsibility

Own one or more key technical areas across LLM, MLLM, CV product portfolio
Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature
Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data
Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding
Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness
Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

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

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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