Phd Research Intern

Simular

Palo Alto, CA, US
On-site
Planning and rl for computer use
Multimodal grounding methods
Reward/judge modeling techniques
Collaborate with research scientists to advance methods in planning, multimodal grounding, reward modeling, and user intent understanding

Job Summary

  • Collaborate with research scientists to advance methods in planning, multimodal grounding, reward modeling, and user intent understanding.
  • Contribute to building datasets, running experiments, and benchmarking results to explore novel approaches.
  • Document and communicate findings through internal reports or academic-style writing.

Matching Summary

Collaborate with research scientists to advance methods in planning, multimodal grounding, reward modeling, and user intent understanding.

Skills & Requirements

Must-have

  • Planning and RL for computer use
  • Multimodal grounding methods
  • Reward/judge modeling techniques
  • User intent understanding
  • Building datasets and running experiments
  • Strong Python and ML frameworks skills

Nice-to-have

  • Curiosity and initiative
  • Bridging fundamental research with applied AI

Key Requirements

  • PhD in Computer Science, Machine Learning, or related field
  • Research background in RL, LLMs, VLM, CV, or Representation Learning
  • Experience publishing in top-tier conferences
  • Strong coding and prototyping skills

Work Rights

Not specified

Tailored Resume

Cover Letter