Research Engineer Foundation Model ML Ops (f/m/div.)

Renningen

Robert Bosch GmbH

Job-Beschreibung

Aufgaben

As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents.
Your primary focus will be on developing efficient engineering and MLOps solutions that help tailor these models to specific Bosch applications, e.g., by fine-tuning generic language models using Bosch’s proprietary data, and making them ready for use in industrial applications.
You will collaborate closely with various corporate research departments and business units to identify and develop novel applications of AI technologies across Bosch’s extensive product and service portfolio.
You will leverage your entrepreneurial mindset to evaluate, develop, and pitch new ideas that can drive innovation within the organization.
Furthermore, you will play a vital role in generating and securing intellectual property, e.g. through high-quality publications in leading AI journals and conferences.
You will write clean, efficient, and well-documented code that supports both research initiatives and the transfer of technology to practical applications.
You will shape and influence Bosch’s technological development by assessing emerging machine learning technologies and providing strategic insights.
Last but not least, you will work within a dynamic AI department alongside machine learning experts, collaborating with Bosch specialists globally to maximize business impact. You will also conduct experiments on both our on-premises GPU cluster and cloud infrastructure.

Profil

Education: excellent MSc in Computer Science or related fields, PhD in Machine Learning with focus on Large Language Models, generative AI or foundation models
Experience and Knowledge:
- proven research track record and multiple years of hands-on expertise in LLMs, GenAI, agentic AI, end-2-end automotive models, or vision-language models, including publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, CVPR,…)
- deep familiarity with state-of-the-art agentic AI and LLM research, combined with the ability to translate this know-how into practical industrial applications
- extensive knowledge and experience in training, applying, evaluating, and adapting state-of-the-art foundation, large language (LLM), or vision-language (VLM) models within an industrial context (e.g., as part of an industrial AI team, or in academia working with large real-world datasets beyond academic benchmarks)
- excellent programming skills in Python with strong experience in Deep Learning frameworks like PyTorch, collaborative software development, and relevant deployment tools
- demonstrated proficiency in scalable machine learning architectures and distributed training (including multi-GPU/multi-node training), coupled with a strong drive to enable new applications and create an impact for Bosch
Personality and Working Practice: you are a strong team player, highly self-motivated, and possess the conceptual strength and creativity to drive the spread of novel ideas and integrate the latest research solutions into Bosch products and services
Languages: very good English skills written and spoken, German is a plus

Wissenswertes zum Job

https://www.bosch-ai.com
www.bosch.com/research

Please submit all relevant documents (CV, certificates, and links to GitHub or kaggle account).

We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Work #LikeABosch starts here: Apply now!

Hinweise zur Bewerbung

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Übersicht

Arbeitszeit

Voll- oder Teilzeit

Remote?

Nein

Typ

Unbefristet

Karrierestufe

Spezialist

Branche

Automobil, Energie- & Versorgungswirtschaft, Maschinenbau, Telekommunikation, Transport & Verkehr

Qualifikation

Promotion & Berufserfahrung

Land

Deutschland

Region

Baden-Württemberg

Research Engineer Foundation Model ML Ops (f/m/div.)

Job-Beschreibung

Aufgaben

Profil

Wissenswertes zum Job

Hinweise zur Bewerbung

Übersicht

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