AI Research Scientist - GenAI

About the role

We are part of the global research at Bosch, focusing on developing scalable, intelligent, and trustworthy AI solutions for various applications like advanced manufacturing, smart home and building solutions, ADAS, robust AI systems, and AI-based simulators.

Responsibilities

• Conduct research on multimodal foundation models, agentic AI, robustness, and efficient GenAI to address academic and industrial challenges.
• Work with an international team to transfer and apply Bosch in-house AI innovations and third-party solutions to Bosch AI products and services, building systems that can advance manufacturing, energy solutions, AI-based sensing, driving assistance, etc.
• Stay updated with the latest technological innovations 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.

Requirements

• Ph.D. in Computer Science or Engineering, or a related discipline, or master’s degree with 3+ years industry experience (multimodal foundation model related) after graduation.
• 4+ years of research experience or equivalent graduate research experience on multimodal foundation models, agentic AI, robust and efficient GenAI.
• In-depth experiences in foundation models, with work in at least two of the following areas: time-series data analysis, LLMs, VLMs/MMLMs, inference efficiency, deployment of large models, robustness.
• Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands-on experience with AI libraries.
• Publication record in top venues including ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc.
• Strong interpersonal, communication, and teamwork capabilities.

Qualifications

• Basic Qualifications: Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (multimodal foundation model related) after graduation. 4+ years of research experience or equivalent graduate research experience on multimodal foundation models, agentic AI, robust and efficient GenAI. In-depth experiences in foundation models, with work in at least two of the following areas: time-series data analysis, LLMs, VLMs/MMLMs, inference efficiency, deployment of large models, robustness. Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI libraries. Publication record in top venues including ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc. Strong interpersonal, communication, and teamwork capabilities.
• PREFERRED QUALIFICATIONS: Strong background in math, statistics, computational modeling. 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.

Skills

• Strong background in math, statistics, computational modeling.
• 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.

Benefits

• Equal Opportunity Employer, including disability / veterans.
• Candidates who have been offered the position must pass both screenings before their start date.
• For more information on our culture and benefits, please visit: Culture and Benefits | Bosch in the USA

Pay

TBD

Schedule

TBD