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Applied AI Engineer
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-07-25
Listing for:
Product Pulse
Full Time
position Listed on 2026-07-25
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
About the Role Requirements Must-Have
- Strong Python and ML frameworks, particularly PyTorch.
- Eval-and-metric mindset. You think in terms of metrics that matter in production, not just benchmarks.
- Comfort with messy data and figuring out how to make it useful.
- Track record of shipping. You can describe specific systems you've built end-to-end.
- Crisp communication about your own work. You can describe what you built in a few clear sentences without buzzwords.
- Based in San Francisco or willing to relocate, in-person 5 days a week.
- Experience with RL, retrieval systems, or agent-based systems
- Cross-stack range: inference optimization, data pipelines, fine-tuning, and model monitoring
- Published ML papers or significant OSS contributions
- Lab or research exposure (SAIL, BAIR, MIT CSAIL, similar)
- Recent applied work on LLMs, browser agents, RAG, or production AI workflows
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