ML & Agentic Systems Engineer [IC4]

Requisitos

• Staff-level technical leader with production machine learning, evaluation, and agent systems experience
• Personally owned a production model lifecycle: trained or fine-tuned a model from dataset construction through evaluation, rollout, and m..
• Designed multi-step agentic systems made reliable, observable, and cost-bounded, with a point of view on where agents vs deterministic co..
• Strong evaluation judgment: representative datasets, meaningful baselines, error taxonomies, and release criteria tied to production beha..
• Treats cost and latency as product constraints using model selection, prompting, retrieval, caching, distillation, and fine-tuning

Desejáveis

• Has shipped an LLM-powered or agentic developer-facing product
• Fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production
• Experience with retrieval, ranking, embeddings, or search relevance
• Experience working directly with enterprise customers and translating their needs into product
• Experience mentoring or up-leveling engineers, especially raising agent engineering fluency