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Handshake AI Research Intern

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Handshake

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Location:
United States , San Francisco

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Contract Type:
Not provided

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Salary:

12000.00 - 15000.00 USD / Month

Job Description:

Handshake AI builds the data engines that power the next generation of large language models. Our research team works at the intersection of cutting-edge model post-training, rigorous evaluation, and data efficiency. Join us for a focused Summer 2026 internship where your work can ship directly into our production stack and become a publishable research contribution. To start between May and June 2026.

Job Responsibility:

  • LLM Post-Training: Novel RLHF / GRPO pipelines, instruction-following refinements, reasoning-trace supervision
  • LLM Evaluation: New multilingual, long-horizon, or domain-specific benchmarks
  • automatic vs. human preference studies
  • robustness diagnostics
  • Data Efficiency: Active-learning loops, data value estimation, synthetic data generation, and low-resource fine-tuning strategies
  • Each intern owns a scoped research project, mentored by a senior scientist, with the explicit goal of an archive-ready manuscript or top-tier conference submission

Requirements:

  • Current PhD student in CS, ML, NLP, or related field
  • Publication track record at top venues (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.)
  • Hands-on experience training and experimenting with LLMs (e.g., PyTorch, JAX, DeepSpeed, distributed training stacks)
  • Strong empirical rigor and a passion for open-ended AI questions

Nice to have:

  • Prior work on RLHF, evaluation tooling, or data selection methods
  • Contributions to open-source LLM frameworks
  • Public speaking or teaching experience (we often host internal reading groups)

Additional Information:

Job Posted:
February 20, 2026

Expiration:
February 28, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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