About this Senior ML Engineer (Europe-based/Remote) role at Swordhealth
Since 2020, Sword has expanded across Musculoskeletal, Women’s Health, Cardiometabolic, and Mental Health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 1 million members across three continents have completed over 15 million AI sessions, helping 2,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 59 clinical studies, 43 patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.
AI Proficiency at Sword
AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.
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
Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.
What you’ll be doing:
What you need to have:
- 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.
Bonus points
These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact.
Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below.