Sword Health - Lead ML Engineer

• Proven ability to ship production ML systems - You’ve built and deployed models that real users depend on, and can show the impact. • Experience leading technical teams - You’ve led engineers before (whether as a tech lead, team lead, or manager), with an emphasis on pragmatic execution and delivery. • Hands-on experience with end-to-end ML pipelines - From data preparation through model deployment, monitoring, and iteration in production. • Strong engineering fundamentals - You write production-quality code in Python, work effectively with data (SQL), and can debug complex ML systems. • GenAI experience - You’ve worked with LLMs in production environments (RAG, tool use, orchestration, complex workflows, or fine-tuning). • Bias toward action - You ship iteratively, make decisions with incomplete information, and prioritize effectively to deliver value quickly. • Clear communication - You can explain technical tradeoffs to clinicians, product managers, and engineers. • What we would love to see: • Experience with healthcare AI or clinical applications - you understand the unique challenges of building ML for high-stakes domains. • Track record of designing and running experiments to measure real-world impact (A/B tests, online evaluation, etc.). • To ensure you feel good solving a big Human problem, we offer: • A stimulating, fast-paced environment with lots of room for creativity; • A bright future at a promising high-tech startup company; • Career development and growth, with a competitive salary;