Sword Health · 2 months ago
Lead ML Engineer (Europe-based/Remote)
United States
Full-time
Remote
Lead/StaffSword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere. The Lead ML Engineer will ship production ML systems, lead a team of engineers, drive ML initiatives, and partner with product and clinical teams to enhance patient outcomes.
Artificial Intelligence (AI)Health CareMedicalmHealthTherapeutics
No H1B
Responsibilities
Ship production ML systems that power clinical care - Write code daily, design architectures, and make technical decisions across our AI treatment management platform and Phoenix
Lead a lean team of 2-4 ML engineers - Set technical direction, unblock your team, review code, and ensure you’re building the right things the right way
Drive 0-1 ML initiatives - Identify high-leverage opportunities across the AI stack (prompt engineering, RAG, fine-tuning, agentic workflows), prototype fast, and push to production
Raise the technical bar - Establish best practices for AI development, mentor engineers, and scale our ML engineering culture
Partner with Product and Clinical teams - Shape what gets built and ensure our AI solutions actually improve patient outcomes
Qualification
Required
Proven ability to ship production ML systems - You've built and deployed models that real users depend on, and can show the impact
Experience leading technical teams - You've led engineers before (whether as a tech lead, team lead, or manager), with an emphasis on pragmatic execution and delivery
Hands-on experience with end-to-end ML pipelines - From data preparation through model deployment, monitoring, and iteration in production
Strong engineering fundamentals - You write production-quality code in Python, work effectively with data (SQL), and can debug complex ML systems
GenAI experience - You've worked with LLMs in production environments (RAG, tool use, orchestration, complex workflows, or fine-tuning)
Bias toward action - You ship iteratively, make decisions with incomplete information, and prioritize effectively to deliver value quickly
Clear communication - You can explain technical tradeoffs to clinicians, product managers, and engineers
Preferred
Experience with healthcare AI or clinical applications - you understand the unique challenges of building ML for high-stakes domains
Track record of designing and running experiments to measure real-world impact (A/B tests, online evaluation, etc.)
Benefits
Health, dental and vision insurance
Meal allowance
Equity shares
Remote work allowance
Flexible working hours
Work from home
Discretionary vacation
Snacks and beverages
English class
Company
Sword Health
Sword Health offers AI-powered physical therapy solutions for pain recovery at home.
Founded in 2015
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$493.47MKey Investors
General CatalystSapphire VenturesTransformation Capital
2025-06-17Series Unknown· $40M
2024-06-04Series E· $30M
2024-06-04Secondary Market· $100M
Leadership Team
Virgílio Bento
Founder & CEO
Alexandre Droulers
VP, Clinical Operations
Recent News
2025-12-08
Mobihealthnews
2025-11-26
Company data provided by crunchbase