Contribute to AI/ML product development, maintain data pipelines, implement features, and mentor colleagues. Communicate clearly with team members and stakeholders, requiring Greek fluency.
Sword Health is on a mission to free two billion people from pain.
With 67% of members achieving a pain-free life and a 70% reduction in surgery intent, at Sword, we are using AI Care to change lives, and save millions for our 25,000+ enterprise clients across three continents. Today, we hold the majority of industry patents, win 70% of competitive evaluations, and have raised more than $300 million from top venture firms like Founders Fund, Sapphire Ventures, General Catalyst, and Khosla Ventures.
Recognized as a Forbes Best Startup Employer in 2025, this award highlights our focus on being a destination for the best and brightest talent. Not only have we experienced unprecedented growth since our market debut in 2020, but we’ve also created a remarkable mission and value-driven environment that is loved by our growing team. With a recent valuation of $4 billion, we are in a phase of hyper growth and expansion, and we’re looking for individuals with passion, commitment, and energy to help us scale our global impact.
Joining Sword means committing to a set of core values, chief amongst them to “do it for the patients” every day, and to always “deliver more than expected” on behalf of our members and clients.
This is an opportunity for you to make a significant difference on a massive scale as you work alongside 1000+ (and growing!) talented colleagues, spanning three continents. Your charge? To help us build a pain-free world, powered by AI, enhanced by people — accessible to all.
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;
- Ability to communicate fluently and confidently in Greek, at a native level.
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.
SWORD Health, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
Top Skills
AWS
GCP
Machine Learning
Matplotlib
Numpy
Pandas
Python
Scikit-Learn
SQL
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