Senior ML Engineer

🕒 December 18, 2025

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Sword Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧘 Wellness

Healthcare Insurance • Artificial Intelligence • Wellness

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

• Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development; • Develop and maintain data processing pipelines for getting the data required to build and evaluate models; • Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users; • Share your knowledge and experience of how to build ML systems; • Help grow the AI/ML function by defining and promoting best practices; • Identify and spearhead initiatives for adding AI/ML capabilities to Sword’s products by navigating uncertainty and time-to-value tradeoffs.

🎯 Requirements

• 4+ years of professional experience in Machine Learning; • Hands-on experience implementing and maintaining production machine learning systems; • Solid experience in SQL and Python as well as experience developing production software; • Working knowledge of Python data stack (numpy, pandas, matplotlib, scikit-learn, etc); • Experience leading and owning complex and ambiguous projects from ideation to completion/maintenance; • Experience providing technical oversight and mentoring colleagues; • Ability to learn quickly and dive deep into new problems and fields; • Ability to communicate concepts clearly and interface with both technical and non-technical stakeholders; • Ability to prioritize and solve issues according to the team’s direction and goals.

🏖️ 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