Senior ML Engineer

🔥 1 minute ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 13%

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Sword Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Sword Health is a digital health company that combines artificial intelligence with clinical expertise to provide world-class care for muscle, joint, and pelvic health conditions. By offering digital physical therapy and AI-driven care, Sword helps individuals recover from physical ailments from the comfort of their own home, avoiding surgeries and reducing the need for medications. The company provides employers, health plans, and individuals with personalized treatment plans that are cost-effective and have proven outcomes in pain reduction and improved productivity. Sword Health is dedicated to expanding access to high-quality care and ensuring health equity across global communities.

📋 Description

• Own ML projects end-to-end, from exploration through production deployment and ongoing iteration • Design multi-step agentic LLM workflows with tool use, retrieval, and orchestration for clinical settings • Build evaluation datasets, offline and online harnesses, LLM-as-judge pipelines with human review, and regression tests • Improve model quality through prompting, retrieval, distillation, or fine-tuning based on evidence • Work across data preparation, model adaptation, serving, monitoring, and production feedback loops • Partner with Product, Clinical, and Engineering to translate clinical requirements into technical decisions • Review code, share knowledge, and mentor less experienced engineers

🎯 Requirements

• 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, including building eval datasets and frameworks • Strong ML fundamentals and ability to reason about tradeoffs • Ability to turn loosely defined problems into production systems • Production-quality coding skills • Familiarity with distributed systems • Ability to debug messy ML pipelines • Clear communication with technical and clinical stakeholders • Demonstrate at least Level 1 AI proficiency • Bonus: Experience with fine-tuning or preference optimization (RLHF, DPO, or similar) • Bonus: Healthcare AI or other high-stakes domain experience • Bonus: Experience building agent frameworks or evaluation tooling from scratch • Bonus: Open source contributions, technical writing, or other knowledge sharing

🏖️ Benefits

• Sword also offers additional benefits beyond total compensation • Country-specific benefits may vary and will be detailed separately • Variable, bonus, or sales incentives may be included in total compensation • Private company stock options may be included in total compensation

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