AI Research Scientist Safety

• 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 --$165000 - $185000 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.

Learn more about our full benefits offerings by visiting:  Opportunity Employer including disability / veterans.

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Culture and Benefits Bosch in the USA

Remote Work :

No

Employment Type :

Full-time