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.
The company utilizes AI Care to change lives and save millions for over 25,000 enterprise clients across three continents.
Sword Health holds the majority of industry patents, wins 70% of competitive evaluations, and has raised more than $300 million from top venture firms.
Recognized as a Forbes Best Startup Employer in 2025, Sword Health emphasizes a mission and value-driven environment.
The company is in a phase of hyper growth and expansion, seeking passionate individuals to help scale its global impact.
The role involves contributing to the design, building, evaluation, shipping, and improvement of Sword’s products through hands-on AI/ML development.
Responsibilities include developing and maintaining data processing pipelines, collaborating with Product, Data & Engineering Teams, sharing knowledge on ML systems, promoting best practices, and spearheading AI/ML initiatives.
Requirements:
Candidates must have 4+ years of professional experience in Machine Learning.
Hands-on experience in implementing and maintaining production machine learning systems is required.
Solid experience in SQL and Python, along with experience in developing production software, is necessary.
A working knowledge of the Python data stack (numpy, pandas, matplotlib, scikit-learn, etc.) is essential.
Experience in leading and owning complex projects from ideation to completion/maintenance is required.
Candidates should have experience providing technical oversight and mentoring colleagues.
The ability to learn quickly and dive deep into new problems and fields is important.
Strong communication skills to interface with both technical and non-technical stakeholders are necessary.
Candidates must be able to prioritize and solve issues according to the team’s direction and goals.
Fluency in Greek at a native level is a must.
Benefits:
Sword Health offers an opportunity to make a significant difference on a massive scale in the healthcare industry.
Employees will work alongside a growing team of over 1000 talented colleagues across three continents.
The company promotes a mission-driven environment that is focused on delivering more than expected for members and clients.
Employees are encouraged to contribute to a culture of innovation and best practices in AI/ML development.
