AI Research Scientist Advanced Driver-Assistance Systems (ADAS)

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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 Bosch AI research in Silicon Valley, we are responsible for pushing the boundaries of GenAI and foundation models through key innovations to solve complex industry problems, and shape the future user experience of Bosch products for both internal and external users in the fields of Advanced Driver Assistance Systems, AI agent, 3D Vision, etc. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS, RSS, ACL, EMNLP, AAAI, CoRL, and TVCG.

Key Responsibilities: 

• Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc.
• Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS.
• Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.
• Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.
• Document and disseminate research findings through high-caliber publications and/or patent submissions.

Basic Qualifications

• Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (GenAI and/or foundation model related) after graduation.
• 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting.
• In-depth experiences in deep learning, with work in at least two of the following areas: multimodal large language models, diffusion models, 3d reconstruction.
• Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries.
• Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL.
• Strong interpersonal, communication, and teamwork capabilities.

Preferred Qualifications 

• Strong background in math and statistics
• 3+ years experiences in industrial research
• Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets.
• Experience in leading R&D project & team dealing with international customers.
• Leadership skills with excellent English communication & teamwork skills.

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.

Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome.

Equal Opportunity Employer, including disability / veterans.

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