We are seeking an applied Research Scientist to join our team.
In this role you will lead the design and development of large language models (LLMs)-based intelligent agent systems tailored for Boschs industrial manufacturing scenarios.
You will leverage LLMs agent development frameworks and advanced NLP techniques to enable high-precision task automation intelligent reasoning and decision support.
You will architect and implement end-to-end agent capabilitiesincluding function calling and tool use memory mechanisms task planning and retrieval-augmented generationto combine general AI capabilities with Boschs deep industrial knowledge.
A key part of this role is driving post-training and fine-tuning efforts (e.g. instruction tuning reward modeling domain adaptation) that transform foundation models into high-accuracy production-ready agents for real-world factory use cases.
Beyond solution development you will continuously scout and evaluate the latest advancements in LLMs agent frameworks and knowledge-enhanced AI to ensure our solutions remain state-of-the-art.
By integrating cutting-edge research with Boschs domain expertise you will help close the last mile of AI deployment in industrial environmentsdelivering robust reliable and high-precision agent performance in production-level applications.
Qualifications :
Design develop and optimize LLM-powered agent systemsincluding memory planning and reasoning capabilitiesfor high-precision task automation and decision support in industrial manufacturing scenarios.
Execute post-training and alignment of LLMsincluding supervised fine-tuning (instruction tuning domain/task adaptation) parameter-efficient tuning methods (e.g. LoRA/QLoRA) reward modeling and preference optimizationto deliver controllable high-accuracy behavior in industrial applications.
Advance RAG systems beyond baseline implementations by optimizing retrieval chunking reranking and grounding to achieve high-accuracy domain-adapted performance in industrial scenarios.
Collaborate with domain experts to transform industrial data into actionable insights using advanced NLP techniques
Validate and benchmark agent performance in production-like environments ensuring robustness and efficiency
Contribute to scientific publications patents or technical whitepapers as part of Boschs innovation initiatives
Basic Qualifications
PhD or Masters degree in Computer Science Artificial Intelligence NLP or related fields with 3 years of working experience in building real-world NLP or agent systems
Proficient in Python and widely used LLM toolchainscovering model development (Transformers PyTorch) and agent orchestration frameworks (LangChain LangGraph or equivalent).
Solid understanding of LLM post-training and alignment workflows including supervised fine-tuning (e.g. instruction tuning domain adaptation) and reward/preference model optimization with hands-on experience in at least part of this pipeline.
Solid understanding of agent architectures (e.g. RAG memory tool use planning) and their application in high-precision environments
Proficiency in English for technical communication and collaboration in interdisciplinary teams
Understanding of the deployment challenges of LLM/AI systems in production environments
Preferred Qualifications
Experience applying LLM agents to industrial manufacturing domains
Familiarity with knowledge graph related technologies- a plus
Demonstrated contributions to top-tier AI/ML/NLP research (e.g. ACL NeurIPS ICML ICLR)
Some exposure to CV or multimodal models is a plus
Remote Work :
No
Employment Type :
Full-time
Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more