Bosch Group
Master Thesis in Continual Learning with Agentic Memories
USARemotePosted 11 days ago€15 – €20
Full TimeRemoteUS
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Job Description
Company DescriptionAt Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we gr
Key Highlights
- You will begin your thesis by conducting a comprehensive literature review on memory in agents, analyzing existing benchmark implementations, datasets, and methods to build a deep understanding of the field while also exploring the domain of continual learning.
- Building on this foundation, you will adapt existing benchmarks or implement your own for Bosch-related use cases. In this context, you will write code to apply LLMs in an agentic setting, with a particular focus on agent memory.
- Based on these insights, you will derive and implement methods aimed at improving the memory of continually learning agentic systems.
- Finally, you will rigorously evaluate the performance of the developed approaches on standard academic benchmarks as well as Bosch use cases, while you will analyze scalability, robustness, and deployment potential.
- You will carry out all of these tasks within a tight project timeline, with your results strongly encouraged to be submitted to major upcoming machine learning conferences, while performing effectively under deadline driven time pressure is mandatory.
Qualifications
Required Qualifications
- Education: master studies in the field of Computer Science, Mathematics, Machine Learning or comparable with a focus on machine learning with very good grades
- Experience and Knowledge: strong academic background in machine learning and (applied) mathematicssolid programming skills in deep learning with PyTorch as well as proficiency in Gitfamiliarity with job scheduling systemspractical knowledge of agentic systems and their implementation in a research settingbackground in working with LLMs using PyTorch and Python
- strong academic background in machine learning and (applied) mathematics
- solid programming skills in deep learning with PyTorch as well as proficiency in Git
- familiarity with job scheduling systems
- practical knowledge of agentic systems and their implementation in a research setting
- background in working with LLMs using PyTorch and Python
- Personality and Working Practice: you are a motivated and research oriented person who takes a proactive and independent approach to problem solving and is able to work effectively under deadline pressure
- Work Routine: our hybrid model provides you with a balanced mix of on site presence and remote work (70% remote, 30% in presence)
- Enthusiasm: keen interest in independent problem solving
- Languages: fluent in English and beginner in German
Skills & Technologies
Machine LearningDeep LearningPyTorch
About the Company
Bosch Group
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Job Details
Employment Type
Full Time
Salary Range
€15 – €20
Location
USA
Work Mode
Remote
Posted
11 days ago
Country
US