Job Description
The internship involves conducting advanced research in Large Language Models (LLMs), Generative AI, and agentic AI systems, including designing, prototyping, and evaluating autonomous AI agents and workflows, with opportunities to work on cutting-edge AI techniques and contribute to scalable production systems.
Key Responsibilities
- Conduct advanced research in LLMs, Generative AI, and agentic AI systems, focusing on techniques like tool-augmented reasoning, planning agents, and multi-agent collaboration.
- Design and prototype LLM-based agents capable of reasoning, planning, tool invocation, memory management, and autonomous task execution.
- Develop and optimize retrieval-augmented and tool-augmented generation pipelines such as RAG, Graph-RAG, hybrid search, and vector symbolic retrieval.
- Build and evaluate end-to-end agent workflows, including orchestration, tool APIs, state tracking, and long-horizon planning.
- Implement evaluation pipelines for LLMs and agents, including offline evaluations, human-in-the-loop assessments, red-teaming, and safety validation.
- Experiment with open-source and frontier foundation models and apply efficient adaptation techniques.
- Contribute to scalable production systems, including model serving, orchestration frameworks, observability, guardrails, and lifecycle management.
- Participate in internal research reviews, technical deep dives, and code walkthroughs.
Requirements
- Currently pursuing M.S. or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Computational Linguistics, Applied Mathematics, or a related technical field.
- Strong foundation in machine learning and NLP, including transformers, attention mechanisms, and modern generative modeling.
- Proficiency in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow.
- Hands-on experience with LLM tooling and frameworks, such as HuggingFace, LangChain, LlamaIndex, Haystack, or similar orchestration frameworks.
- Familiarity with agentic AI patterns, including Tool use function calling, Planning reasoning ReAct, Tree Graph of Thoughts, etc.
- Experience with memory architectures, including short-term, long-term, and vector databases.
- Experience with RAG pipelines, embeddings, and vector databases.
- Understanding of prompting strategies, fine-tuning, and alignment techniques such as SFT, RLHF, DPO, PEFT, LoRA.
- Strong software engineering practices, including version control, testing, and documentation.
- Ability to communicate technical concepts clearly and collaborate in a research-engineering environment.
- Must be enrolled in an educational program following the end of the intern assignment.
- Must be a US Citizen with the ability to obtain and maintain a US Government Security Clearance.
Benefits & Perks
Compensation range of $43 to $48 per hour, determined by educational year
80 hours of sick time
Assignment length of 8 to 12 weeks with multiple start dates
One-time stipend for relocation and renting in Malibu, CA
Ready to Apply?
Join HRL and make an impact in renewable energy
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs
More jobs at HRL
Graph Machine Learning Research Intern
HRL
NEW
VISA
Calabasas
Internship
9h
$0k-0k/hr
Infrared Test Manager
HRL
Camarillo
Full Time
Jan 9
$173k-222k
MEMS Process Integration Engineer
HRL
VISA
Malibu
Full Time
Jan 5
$141k-176k