Home Jobs Master Thesis on Large Language Models for Patent Retrieval - remote possible
Back to Jobs

Master Thesis on Large Language Models for Patent Retrieval - remote possible - Job Opportunity at Bosch Group

Renningen, Germany
Internship
Entry-level
Posted: August 15, 2025
Hybrid
Given this is a 6-month Master thesis position in Germany, typical compensation would range from EUR 1,200-2,000 per month, equivalent to approximately USD 15,000-24,000 annually. Bosch typically offers competitive thesis stipends in the upper range of this bracket.

Benefits

Flexible remote work arrangements within Germany enabling optimal work-life balance and reduced commuting costs
Smart Work framework providing collaborative flexibility between home office and Renningen location
Opportunity to participate in publishing research at major NLP conferences or workshops, significantly enhancing academic and professional profile
Access to cutting-edge AI and patent technology resources at a Fortune Global 500 company
Mentorship and guidance from experienced professionals in AI and patent domains

Key Responsibilities

Conduct comprehensive assessment of LLM-based rerankers for patent retrieval systems, directly contributing to next-generation intellectual property management solutions
Research and analyze state-of-the-art methods from academic literature, positioning findings within the context of patent data applications
Design and implement computational experiments to identify performance advantages over existing methods, generating quantifiable improvements in retrieval accuracy
Develop novel approaches to address identified limitations in current patent retrieval systems, potentially creating patentable innovations
Contribute to academic publication efforts at major NLP conferences, establishing thought leadership in the intersection of AI and patent technology

Requirements

Education

Master studies in the field of AI, Computer Science, Software Engineering or comparable with very good grades

Experience

6 months

Required Skills

profound knowledge of Machine Learning Large Language Models programming in Python and PyTorch experience with Information Retrieval Linux and LaTeX prior knowledge of patents is an advantage working autonomously systematically organizing tasks analytical thinking to solve complex problems
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The patent analytics market is experiencing unprecedented growth driven by AI integration, with LLM-based solutions representing the next frontier in intellectual property management. Organizations are increasingly investing in advanced retrieval systems to manage growing patent portfolios and accelerate prior art searches. Large Language Models are revolutionizing information retrieval across industries, with patent domain applications showing particular promise due to the complex, technical nature of patent documentation. The ability to understand semantic relationships in patent claims represents a significant competitive advantage. The convergence of AI and intellectual property is creating new market opportunities, with patent analytics expected to reach multi-billion dollar valuations as companies seek to leverage AI for strategic IP decision-making and risk assessment.

Role Significance

Typical thesis projects at Bosch involve close collaboration with 2-3 senior researchers and engineers, plus periodic interaction with broader IP and AI teams of 10-15 professionals across different domains.
This represents an advanced academic research position with significant strategic importance, as the candidate will be contributing to cutting-edge developments in patent retrieval technology that could influence Bosch's intellectual property management capabilities for years to come.

Key Projects

Development of novel LLM architectures specifically optimized for patent document understanding and retrieval Creation of benchmark datasets and evaluation metrics for patent retrieval systems Integration of advanced reranking algorithms into existing patent search infrastructures Cross-domain analysis of retrieval performance across different patent classifications and technical fields

Success Factors

Deep understanding of both theoretical machine learning concepts and practical implementation challenges in patent domain applications Ability to bridge academic research with industrial applications, translating theoretical advances into measurable business value Strong experimental design skills to conduct rigorous comparative analysis of different LLM approaches Excellent communication abilities to present complex technical findings to both academic and business audiences Systematic approach to literature review and state-of-the-art analysis in rapidly evolving AI research landscape

Market Demand

Extremely high demand exists for professionals combining AI expertise with patent domain knowledge, as this intersection represents a critical skill gap in the growing IP analytics market.

Important Skills

Critical Skills

Proficiency in Python and PyTorch is absolutely essential as these form the foundation for implementing and experimenting with large language models in the patent retrieval context. The ability to efficiently prototype, train, and evaluate neural models directly impacts research productivity and results quality. Deep understanding of Large Language Models and Machine Learning principles is crucial for developing novel approaches to patent retrieval challenges. This knowledge enables critical evaluation of existing methods and identification of improvement opportunities. Information Retrieval expertise provides the domain-specific knowledge necessary to understand the unique challenges of patent search, including the complex relationships between patent claims, technical specifications, and prior art references.

Beneficial Skills

Prior knowledge of patents and intellectual property processes would significantly accelerate the research timeline and enable deeper insights into domain-specific challenges and opportunities Experience with academic writing and publication processes would enhance the potential for successful conference submissions and maximize the academic impact of the research Familiarity with distributed computing and large-scale data processing would be valuable for handling extensive patent databases and conducting comprehensive experimental evaluations

Unique Aspects

This position offers rare opportunity to work at the intersection of cutting-edge AI research and practical patent applications, a combination that few organizations can provide
Access to Bosch's extensive patent portfolio and real-world use cases provides unparalleled research material for developing and testing LLM-based retrieval systems
Potential for academic publication at major conferences positions this role as both industry experience and academic achievement
The hybrid remote work model allows for optimal balance between independent research and collaborative development with experienced industry professionals
Integration with Bosch's broader AI initiatives provides exposure to large-scale industrial AI applications beyond the immediate thesis scope

Career Growth

Successful completion of this thesis position typically leads to full-time opportunities within 6-12 months, with senior roles achievable within 3-5 years given the specialized nature of AI-patent expertise.

Potential Next Roles

AI Research Scientist specializing in natural language processing and information retrieval systems Patent Analytics Specialist at technology companies or IP consulting firms Machine Learning Engineer focusing on document understanding and search technologies Product Manager for AI-powered intellectual property management platforms PhD researcher in computational linguistics or patent informatics

Company Overview

Bosch Group

Bosch Group stands as one of the world's largest automotive and industrial technology suppliers, with annual revenues exceeding EUR 88 billion and operations in over 60 countries. The company has established itself as a leader in IoT, mobility solutions, and industrial technology, with significant investments in AI research and development.

As a Fortune Global 500 company and technology pioneer with over 130 years of innovation history, Bosch maintains a dominant position in automotive technology and industrial solutions, while actively expanding its capabilities in artificial intelligence and digital transformation initiatives.
The Renningen location serves as one of Bosch's major German research and development centers, housing advanced AI and software development teams that contribute to global product strategies and technological innovations across multiple business units.
Bosch fosters a research-driven environment that encourages academic collaboration, innovation, and long-term career development. The company's commitment to diversity and inclusion, combined with flexible work arrangements, creates an environment conducive to both academic excellence and practical innovation.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.