Applied AI Engineer
Product Pulse
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. Nice-to-Have 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 #J-18808-Ljbffr Product Pulse
Vacancy posted 1 day ago
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