Offer summary

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field., Basic knowledge of Linux and Python scripting., Experience or coursework in Machine Learning, NLP, LLMs, RAG, or vector databases., Good command of German language..

Key responsibilities:

Investigate custom parsing methods for technical documents for vector database embedding.

Fine-tune and extend LLMs for industrial hydraulics applications.

Evaluate prompt-tuning methods for tailored LLM outputs.

Work remotely with monthly on-site team visits within Germany.

Job description

Company Description

At Bosch Rexroth, everything revolves around movement and the success of our customers. With our networked drive and control technologies as well as digital solutions, their machines and systems work efficiently, safely and powerfully. We offer components, system solutions and services for mobile and industrial applications as well as for factory automation. In all areas, we value the know-how and commitment of our employees and enable dynamic careers in an international environment.

Around 33,800 people in over 80 countries - and one corporate purpose: "We move industries to make our planet a better place."

Do you want to make a difference? Then we look forward to receiving your application to Bosch Rexroth AG.

Job Description

During your assignment, the following task alignments are possible (not all of them will be part of the assignment):

Investigation of custom parsing methods for technical documents as a preparation step for vector database embedding.
Fine-tuning and extension of LLMs for domain-specific use in industrial hydraulics.
Evaluation of prompt-tuning methods for tailored results from LLMs.

Qualifications

Education: completed Bachelor studies in the field of Computer Science, Information Technology or a comparable degree program in Computer Science
Experience and Knowledge: basic in Linux; hands-on experience with Python scripting; basic knowledge (can be coursework, personal projects or practical exposure) in at least one of the following: Machine Learning, Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) concepts, information retrieval, vector databases or Optical Character Recognition (OCR); familiarity with CLI tools is preferred
Personality and Working Practice: you are an independent and autonomous individual with a strong ability to learn and a willingness to familiarize yourself with new subject areas
Work Routine: The team mainly works remotely, with mobile working within Germany as the standard mode. Monthly visits to the common team on-site days are required.
Enthusiasm: for bleeding-edge technology and a willingness to experiment with procedures and tools that have rarely been tried before
Languages: good in German

Additional Information

Start: according to prior agreement
Duration: 6 months – 10 h/week

You want to work flexibly from your home in Germany or prefer working at the Bosch location in Lohr am Main? For positions with the addition “remote possible”, you can agree on the appropriate collaboration for your task together with your manager and your team within the framework of Smart Work.

Requirement for this working student position is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate and if indicated a valid work and residence permit.

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.

Need further information about the job?
Julius Berger (Functional Department)
+49 152 026 84461

#LI-DNI

You can also find more information about us at www.boschrexroth.de/karriere and on our social media channels, for example Instagram.

Move with us. Win together.

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