Agentic AI R&D Intern

Sunnyvale, CA, United StatesinternshipOn Site

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BoschGroup Agentic AI R&D Intern at BoschGroup contributes to cutting-edge research in large language models, AI agents, and intelligent autonomous systems. The role involves developing novel algorithms and systems for AI agents in real-world industrial applications.

Responsibilities

Depending on your expertise and interests, you will contribute to one or more cutting-edge research topics, including:
Agent systems for industrial applications
Autonomous AI agents and multi-agent systems
Agent reasoning, planning, and decision making
Agent memory and long-horizon task execution
Agent self-improvement, continual learning, and adaptation
Tool use, function calling, and agent-environment interaction
Retrieval-Augmented Generation (RAG) and Agentic RAG
Knowledge integration and grounding for agents
LLM post-training, reinforcement learning, and test-time scaling
Multi-modal agents leveraging language, vision, and structured data
Human-agent collaboration and interactive AI systems

Qualification

Currently enrolled in a PhMinimum GPA of 3Publication record in top-tier AIResearch experience in LLM-based agentsExperience with multi-agent systemsExperience in reinforcement learningExperience with agent benchmarking

Required

Currently enrolled in a Ph.D. or Master's program in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related field.
Strong research background in Agentic AI, Large Language Models (LLMs), machine learning, natural language processing, or related areas.
Experience developing AI agents using modern frameworks and ecosystems
Strong programming skills in Python and experience with modern AI/ML framework
Familiarity with agent workflows involves tool use, function calling, retrieval, memory, and multi-step reasoning.
Experience conducting independent research, designing experiments, and analyzing results.
Strong written and verbal communication skills and ability to work effectively in a collaborative research environment.
Minimum GPA of 3.0

Preferred

Publication record in top-tier AI, NLP, or machine learning venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, COLM).
Research experience in LLM-based agents, agent architecture, task planning, reasoning, and autonomous decision making.
Research experience in agent optimization, including post-training, reinforcement learning, preference optimization, and self-improvement.
Experience with retrieval-augmented generation (RAG), agentic retrieval systems, and knowledge-grounded agents.
Experience with multi-agent systems, agent collaboration, and distributed agent workflows.
Experience with multi-modal foundation models involving language, vision, and structured data.
Experience in reinforcement learning, online learning, or adaptive decision-making systems.
Experience with agent benchmarking, evaluation methodologies, reliability, safety, or alignment.

Benefits

Vision

Company

BoschGroup

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