Staff Machine Learning Engineer (Medtech)

TL;DR

Staff Machine Learning Engineer (Medtech): Designing and productionizing ML systems for advanced health sensing capabilities with an accent on physiological and behavioral data streams. Focus on translating research prototypes into scalable, reliable production services within a regulated SaMD framework.

Location: On-site in Boston, MA. The successful candidate must be prepared to relocate to Boston

Salary: $170,000–$230,000 base salary + equity

Company

hirify.global is an advanced health and fitness wearable company on a mission to unlock human performance by providing a deep understanding of members' bodies and daily lives.

What you will do

• Design, build, and maintain production services that deliver health features in collaboration with Applied ML Scientists.
• Translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency.
• Collaborate with Data Platform teams to improve ML data pipelines, tooling, and validation systems.
• Partner with the Digital Health team on algorithmic performance specifications and validation/verification planning.
• Align model development with health insights and member impact in collaboration with researchers and product teams.
• Participate in on-call rotations to ensure the uptime and performance of data science services.

Requirements

• Bachelor's degree in CS, Data Science, Applied Mathematics, or a related field (Master's preferred).
• 7+ years of professional experience as a Machine Learning or Software Engineer building production ML systems.
• Proven experience working with time series data, preferably from wearables or high-frequency sensors.
• Experience designing, deploying, and operating large-scale ML inference systems (real-time streaming or batch).
• Strong Python coding skills and backend fundamentals (APIs, reliability, monitoring).
• Experience developing ML software in a regulated or quality-managed environment (SaMD or medical device).

Culture & Benefits

• Total compensation includes a base salary, a generous equity package, and benefits.
• Equity alignment to share in the company's long-term growth and success.
• Inclusive environment that values character and diversity alongside professional experience.
• Equal Opportunity Employer participating in E-verify.