Staff Machine Learning Engineer

Required

• BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experience
• 8+ years building and shipping ML systems in production, with a proven track record of delivering product-oriented ML solutions, including recent work on LLM-powered products
• Deep expertise in PyTorch and the modern Python ML stack (Hugging Face, scikit-learn, NumPy, Pandas/Polars)
• Hands-on experience building production LLM applications: retrieval-augmented generation (RAG), tool/function calling, structured outputs, and agentic workflows
• You've shipped agentic systems in production and know their failure modes: tool use, planning, state, recovery and human-in-the-loop
• Experience post-training or adapting LLMs (SFT, DPO, RLHF/RLAIF, reward modeling) for a production use case
• Rigorous about evaluation: you've built eval suites, golden datasets and LLM-as-judge pipelines
• Sound judgment on when to use a frontier model API, a fine-tuned open-weight model, or a classical ML model, balancing cost, latency, and accuracy
• Passionate about applying SOTA techniques to real-world problems, with a willingness to get your hands dirty in the data and domain to achieve measurable outcomes
• You care deeply about engineering excellence, supportability and knowledge-sharing
• You have strong written and verbal communication skills
• Heavy user of AI coding tools (Cursor, Claude Code) in your daily workflow