AI Research Scientist - Safety

Robert Bosch Group; Sunnyvale (CA); On-site; USD 165,000 - 185,000; Full time

Job summary

Robert Bosch Group in Sunnyvale, CA, leads strategic AI safety research for autonomous systems, focusing on robust models, safety validation, and industry collaboration. You will contribute to state-of-the-art foundation models, ML deployments, and responsible AI practices within Bosch RTC North America.

The role requires a Ph.D. with 3+ years in world models and 2+ years deploying ML in production, plus strong Python and PyTorch/JAX skills.

Qualifications

• Ph.D. in Computer Science, Machine Learning, Robotics, Artificial Intelligence, or a related quantitative field.
• 3+ years of research experience focusing on world models, generative dynamics, self-supervised learning, or physical reasoning for autonomous systems.
• 2+ years of industrial R&D deploying large-scale ML models and safety-critical algorithms.
• Hands-on proficiency in Python and deep learning frameworks (PyTorch or JAX).

Responsibilities

• Lead strategic research and engineering initiatives in AI safety, alignment, and model reliability with ADAS applications.
• Advance generative world models, simulation frameworks, and physical reasoning to evaluate edge cases.
• Collaborate with global R&D teams to transfer safety frameworks into production pipelines.
• Implement safety validation, OOD detection, failure mode analysis, and uncertainty estimation.
• Monitor foundation models and safety research, presenting at top conferences and publishing findings.
• Provide technical counsel to leadership to guide R&D roadmaps and patent growth in trustworthy AI.

Skills

World models

Generative dynamics

Self-supervised learning

Physical reasoning

Industrial ML deployment

Python

PyTorch

JAX

AI safety

C++

Distributed training

Publications

Patents

Education

Ph.D. in Computer Science / ML / Robotics / AI

Tools

-

Job description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

Originating from the AI research in Silicon Valley, ourFoundation Model Powered AI Enablersgroup plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other.Work #LikeABosch

• Reinvent yourself:At Bosch, you will evolve.
• Discover new directions:At Bosch, you will find your place.
• Celebrate success:At Bosch, we celebrate you.
• Shape tomorrow:At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

• Lead strategic research and engineering initiatives in AI safety, alignment, and model reliability, with direct application to ADAS feature releases and autonomous systems.
• Advance generative world models, simulation frameworks, and physical reasoning techniques to evaluate complex driving edge cases and validate system behavior.
• Collaborate with global R&D teams to seamlessly transfer cutting-edge safety frameworks and machine learning algorithms into operational platforms and production pipelines.
• Implement rigorous safety validation, out-of-distribution (OOD) detection, failure mode analysis, and uncertainty estimation methods to ensure robust platform integration.
• Monitor emerging developments in foundation models and safety alignment, representing the organization by presenting at top-tier conferences (e.g., NeurIPS, CVPR, ICLR, ICRA) and publishing high-impact research.
• Provide expert technical counsel to senior leadership to guide strategic R&D roadmaps, investment decisions, and patent portfolio growth in trustworthy AI.

Qualifications

Basic Qualifications

• Ph.D. in Computer Science, Machine Learning, Robotics, Artificial Intelligence, or a related quantitative field.
• 3+ years of dedicated research experience (academic or industry) focusing on world models, generative dynamics, self-supervised learning, or physical reasoning for autonomous systems.
• 2+ years of industrial R&D experience in creating, fine-tuning, and deploying large-scale machine learning models and safety-critical algorithms into production or testing environments.
• Hands-on engineering proficiency in Python and deep learning frameworks (PyTorch or JAX).

Preferred Qualifications

• Deep theoretical and practical expertise in AI safety techniques, including alignment, adversarial robustness, interpretability (XAI), failure mode analysis, and uncertainty quantification.
• Strong low-level engineering experience with C++ and high-performance distributed training pipelines for system integration.
• Proven track record of peer-reviewed publications in top-tier machine learning or robotics venues (e.g., NeurIPS, CVPR, ICCV, ECCV, ICLR, ICRA).
• Demonstrated experience generating intellectual property and securing patent contributions in trustworthy AI or autonomous systems.

Additional Information

We offer a competitive base salary for this position with a range in US-California of --$165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.