Senior ML Engineer (Portugal Based Remote/Hybrid)

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at www.swordhealth.com. The Applied AI Team develops AI and ML solutions that power personalized clinical care at scale. Our work includes end-to-end AI treatment management systems that handle complete care pathways - from initial assessment through intervention selection and progress monitoring across various therapeutic domains. We are also building Phoenix, an AI Care Specialist that engages in ongoing dialogue with patients and provides clinical guidance throughout their recovery journey. This work spans the full AI stack: prompt engineering, RAG implementations, model fine-tuning, and agentic workflows. We leverage both generative AI and classical machine learning depending on what the problem requires. All of our projects contribute to delivering digital care that reaches new levels of clinical quality and accessibility. What you'll be doing:

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.

What you need to have:

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.

What we would love to see:

Experience working in a fast-paced environment and wearing different hats;

Experience building data processing pipelines;

Experience shipping applications using LLMs and Generative AI;

Experience using cloud platforms like GCP or AWS.

To ensure you feel good solving a big Human problem, we offer:

A stimulating, fast-paced environment with lots of room for creativity;

A bright future at a promising high-tech startup company;

Career development and growth, with a competitive salary;

The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;

A stimulating environment with room for creativity;

A flexible environment where you can control your hours (remotely) with unlimited vacation;

Access to our health and well-being program (digital therapist sessions);

Remote or Hybrid work policy.

The hiring process:

30-minute call with the recruiter;

30-minute call with an initial screener;

1 take-home assignment (to be delivered within 1 week);

1h general skills and working principles interview;

1h mindset and cultural fit interview.