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Intern Computer Science New Grad Jobs in California

What you'll do As a PhD intern, you will ... Collaborate with research scientists to advance methods in: * Planning and RL for computer use (e.g ...

As a software engineering intern, you will work alongside our small team of engineers to create new ... Pursuing BS, MS or PhD in Computer Science or related field * Experience with Java, C++ or Python ...

Experiment with different machine learning algorithms and statistical techniques and develop new ... Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative ...

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Intern Computer Science New Grad information

What are the most commonly searched types of Computer Science New Grad jobs in California? The most popular types of Computer Science New Grad jobs in California are:
What cities in California are hiring for Intern Computer Science New Grad jobs? Cities in California with the most Intern Computer Science New Grad job openings:

PhD Research Intern

SimulAR

Palo Alto, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

PhD Intern

Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.

What you'll do

As a PhD intern, you will:

  • Collaborate with research scientists to advance methods in:
    • Planning and RL for computer use (e.g. behavioral cloning, RL on model weights, RAG-based domain knowledge)
    • Multimodal grounding (e.g. vision-only models, tree search, hybrid methods with large models)
    • Reward/judge modeling (e.g. error analysis, human evaluation, training judge models)
    • User intent understanding (e.g. modeling vague queries, preference learning)
  • Contribute to building datasets, running experiments, and benchmarking results
  • Explore novel approaches and help derisk Simular's long-term technical roadmap
  • Document and communicate findings through internal reports or academic-style writing

You might be a fit if

  • Currently pursuing a PhD in Computer Science, Machine Learning, or related field
  • Research background in at least one of: Reinforcement learning, Large language/vision-language models, Computer vision and multimodal perception, Representation learning
  • Experience conducting experiments and publishing or preparing papers in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ACL, etc.)
  • Strong coding and prototyping skills in Python and ML frameworks (PyTorch/JAX)
  • Curiosity, initiative, and interest in bridging fundamental research with applied AI