ML Engineer for Clinical AI & Production

Sword; United States; Remote; USD 75.000 - 117.000; Vollzeit

Zusammenfassung

Sword Health is building AI-powered care to scale access to therapies across physical therapy, women's health and mental health. We seek a senior ML engineer to own end-to-end ML projects in a healthcare context, emphasizing safety, reliability, and real-time decision making.

You will design agentic LLM systems, evaluate rigorously, collaborate with product and clinical teams, and mentor engineers while delivering impactful improvements at scale.

Qualifikationen

• Experience shipping ML systems to production that people actually depend on.
• Hands-on LLM work in production: prompting, retrieval, tool calling, and agent-style workflows.
• A rigorous approach to evaluation: you've built eval datasets and frameworks, and you can tell a real improvement from noise.
• Strong ML fundamentals: you know which approach fits which problem and can reason clearly about tradeoffs.
• Comfort with ambiguity: you've taken loosely defined problems and turned them into something running in production.
• Solid engineering skills: production-quality code, familiarity with distributed systems, and the patience to debug messy ML pipelines.
• Clear communication with both technical and clinical stakeholders.
• Experience with fine-tuning or preference optimization (RLHF, DPO, or similar).
• Healthcare AI, or other high-stakes domains where errors carry real cost.
• Built agent frameworks or evaluation tooling from scratch.
• Open source contributions, technical writing, or other knowledge sharing.

Aufgaben

• Own ML projects end-to-end: take problems from exploration through production deployment and keep iterating once real users are on them
• Build agentic LLM systems: design multi-step workflows with tool use, retrieval, and orchestration, and make them reliable enough for clinical settings
• Treat evaluation as core engineering work: build eval sets, offline and online harnesses, LLM-as-judge pipelines with human review, and regression tests that catch quality drops before they reach users
• Improve model quality with whatever fits the problem: prompting, retrieval, distillation, or fine-tuning, chosen on evidence rather than habit
• Work across the full AI stack: data prep, model adaptation, serving, monitoring, and the feedback loops that keep systems improving in production
• Partner with Product, Clinical, and Engineering: translate clinical requirements into technical decisions and surface tradeoffs early
• Help the team get better: review code, share what you learn, and mentor engineers earlier in their careers

Kenntnisse

ML in production

LLM in production

Evaluation frameworks

ML fundamentals

Ambiguity tolerance

Engineering skills

Communication skills

Fine-tuning / RLHF

Healthcare AI

Agent frameworks

Open source contributions

Jobbeschreibung

Sword Health is building AI-powered care to scale access to therapies across physical therapy, women's health and mental health. We seek a senior ML engineer to own end-to-end ML projects in a healthcare context, emphasizing safety, reliability, and real-time decision making.

You will design agentic LLM systems, evaluate rigorously, collaborate with product and clinical teams, and mentor engineers while delivering impactful improvements at scale.