Master Thesis Development of Retrieval-Augmented Generation, Pipeline Components – remote possible

Bosch Group; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

Bosch Group is seeking a Master's student for a thesis focusing on machine learning. The role involves developing ML models and custom tools for parsing industry documents, as well as training LLMs. Opportunities for flexible work arrangements available.

Qualifications

• Enrollment at university required.
• Good in German is needed.
• Independent and autonomous individual sought.

Responsibilities

• Develop and train an ML model for industry documents.
• Create parsing and chunking tools for vector databases.
• Train or fine-tune a custom LLM for smart hydraulic services.

Skills

Python scripting

Machine Learning

Natural Language Processing (NLP)

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Information Retrieval

Optical Character Recognition (OCR)

Linux

Education

Master studies in Computer Science

Tools

CLI tools

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

There are three subject areas to choose from, one of which you can select as the topic for your thesis.

• During your Master thesis, you will develop and train an ML model to parse industry-specific documents as an entry point for a Retrieval-Augmented Generation (RAG) pipeline.
• Your job includes the development of custom parsing and chunking tools for industry-specific documents, as well as their ingestion into a vector database.
• Last but not least, you will train and/or fine-tune a custom LLM model for use-case-specific applicationswithin the scope of smart hydraulic services.

Qualifications

• Education: Master 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 mainlyworks remotely, with mobile working within Germanyas 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: 3 - 6 months

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 thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations 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)
[phone]

#LI-DNI

You can also find more information about us atwww.boschrexroth.de/karriereand on our social media channels, for example Instagram.

Move with us. Win together.