SWORD Health

SWORD Health

Senior ML Engineer (Europe-based/Remote)

USRemotePosted Today
Full TimeSeniorRemoteUS

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Job Description

At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety

Key Highlights

  • Explorer (Level 1) — Uses AI daily to boost personal productivity
  • Builder (Level 2) — Creates workflows and tools that elevate the whole team
  • Integrator (Level 3) — Embeds AI into products and processes at scale
  • 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;

Qualifications

Required Qualifications

  • 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.

Preferred Qualifications

  • 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.

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Job Details

Employment Type

Full Time

Experience Level

Senior

Location

US

Work Mode

Remote

Posted

Today

Country

US