Who can apply: Only open to applicants in: California, New York.
Location as listed by the employer: “San Francisco, CA; Remote (USA); New York, NY; Mountain View, CA”
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About this role
Handshake is hiring for a Member of Technical Staff, Post-Training role (full-time). See the official posting for full details.
Requirements
- 3+ years of demonstrated strength in post-training, fine-tuning, or model-evaluation work. Relevant experience may include RL, SFT, LoRA/PEFT, full fine-tuning, RLHF, DPO, PPO, reward modeling, or training environments.
- Strong Python skills and the ability to write clean, efficient, scalable software.
- Hands-on experience with modern ML tooling, particularly PyTorch and large-scale data, training, or evaluation workflows.
- Sound experimental judgment: you can form hypotheses, choose meaningful metrics, diagnose failures, and distinguish signal from noise.
- Experience designing systems—not only implementing specifications—including the ability to make tradeoffs around quality, scale, reliability, and reuse.
- Comfort operating in an ambiguous, fast-moving environment with substantial ownership.
- Collaborative, low-ego communication and the ability to work effectively with researchers, engineers, domain experts, and customers.
- Building or operating large-scale ML training, inference, data, or evaluation systems.
Summarized from the employer's posting — check the full posting for every requirement.
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