AI Research Scientist - GenAI

We Are Bosch.
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.
- Balance your life: At Bosch, your job matches your lifestyle.
- Celebrate success: At Bosch, we celebrate you.
- Be yourself: At Bosch, we value values.
- 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.

Responsibilities

Conduct research on multimodal foundation models, agentic AI, robustness and efficient GenAI to address academic and industrial challenges.; Work with an international team of experts to transfer and apply Bosch in-house AI innovations and 3rd-party solutions to Bosch AI products and services, building systems that can advance manufacturing, energy solutions, AI-based sensing, driving assistance, etc.; Stay abreast of 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

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.