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Behavior Analysis Intern Jobs in California (NOW HIRING)

Simular

PhD Research Intern

Palo Alto, CA · On-site

Planning and RL for computer use (e.g. behavioral cloning, RL on model weights, RAG-based domain ... Reward/judge modeling (e.g. error analysis, human evaluation, training judge models) * User intent ...

Student Medicover

Marketing Summer Intern

Burlingame, CA · On-site

$17 - $20.25/hr

As an intern, you will have the opportunity to gain hands-on experience in various marketing ... analyze market research and customers' behavior. The candidate will regularly report to and work ...

Danaher

$98K - $117K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Supporting usability testing and interpreting user behavior data to recommend experience ...

Danaher

$106K - $125K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Supporting usability testing and interpreting user behavior data to recommend experience ...

Alvarado Parkway Institute

APA INTERN

La Mesa, CA · On-site

Description: Are you interested in working in a fast-paced, challenging behavioral healthcare ... or analyze complex data and information. * Vision sees details of objects at close range.

Danaher

Digital Analyst Internships

Arcata, CA · On-site

$106K - $126K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Supporting usability testing and interpreting user behavior data to recommend experience ...

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Infographic showing various Behavior Analysis Intern job openings in California as of July 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

PhD Research Intern

Simular

Palo Alto, CA • On-site

Other

Re-posted 20 days ago

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

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