SH
Senior ML Engineer
Contract type
Ongoing
Work mode
Remote · Afghanistan, Albania, Algeria, Andorra +11
Experience
Senior · Not stated
Level inferred from job title
Job description
Machine learning engineer role at Sword Health owning ML projects end-to-end and building agentic LLM systems for clinical care. The role spans the full AI stack from data prep and model adaptation to serving, monitoring, and evaluation.
At a glance
- Work mode
- Remote · Afghanistan, Albania, Algeria, Andorra +11
- Pay
- EUR 66,500 – 104,500 / year
What you'll do
- 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
What we're looking for
- 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
Nice to have
- 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
Apply
About Sword Health
Sword is a clinical-centric frontier AI lab and applied AI platform pioneering AI Care, a new approach to healthcare built for medical reasoning, safety, and real-time treatment. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is moving toward a fully AI-native, 24/7 care program.
Mission
Building AI to heal billions and unlock humanity's full potential.
Key facts
- 2020
- Healthcare AI
- More than 700,000 members across three continents have completed over 10 million AI sessions
- 1,000+ enterprise clients avoided more than $1 billion in unnecessary healthcare costs
- Backed by 42 clinical studies and 44+ patents
- More than $500 million raised from leading investors
Partners & customers
Khosla VenturesGeneral CatalystFounders Fund
What they value
- AI fluency is a core expectation at Sword