Sword Health · 2 months ago
Staff 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 Staff ML Engineer will own complex ML problems, drive technical strategy, and build production LLM systems while influencing cross-functional teams to ensure clinical AI applications meet high standards.
Artificial Intelligence (AI)Health CareMedicalmHealthTherapeutics
No H1B
Responsibilities
Own complex ML problems end-to-end - Take on the hardest technical challenges (like fine-tuning LLMs to maximize clinical outcomes) from initial exploration through production deployment and real-world iteration
Drive technical strategy in your domain - Define how we approach model development, evaluation, and optimization for clinical AI applications
Build and optimize production LLM systems - Design and implement fine-tuning pipelines, preference optimization (RLHF, DPO), and rigorous evaluation frameworks for clinical use cases
Work deeply across the full AI stack - From data preparation and model training through deployment, monitoring, and iteration in production environments
Influence across teams - Partner with Product, Clinical, and Engineering teams to shape technical decisions and ensure we’re solving the right problems
Raise the technical bar - Mentor engineers, establish best practices, and help define what excellent ML engineering looks like at Sword
May lead 1-2 engineers on specific projects, providing technical direction and mentorship
Qualification
Required
Deep expertise in production ML systems - You've built and shipped ML systems that users depend on, with a track record of solving complex technical problems
Production LLM experience - You've fine-tuned, evaluated, and deployed LLMs in production environments
Experience with preference optimization - You've implemented techniques like RLHF, DPO, or similar approaches in production settings
Strong ML fundamentals - You understand when to use different ML approaches, can design rigorous evaluation frameworks, and make principled technical tradeoffs
End-to-end ownership - You've taken ambiguous, complex problems from initial exploration through production deployment and ongoing iteration
Excellent engineering skills - You write production-quality code, understand distributed systems, and can debug complex ML pipelines
Communication and influence - You can drive technical decisions across teams and explain complex tradeoffs to technical and clinical stakeholders
Preferred
Experience with healthcare AI or clinical applications and the unique challenges of building ML for high-stakes domains
Track record of designing evaluation frameworks for LLMs in specialized domains
Contributions to the ML community through open source, technical writing, or other knowledge sharing
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