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FitMatch
San Francisco, California, United States • Remote OK
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The Lead iOS Engineer will own the technical architecture of the clinical application and develop real-time pose estimation and movement analysis capabilities. They will also define engineering standards and mentor junior engineers while collaborating with ML/CV teams.
Requires at least 7 years of professional iOS experience in Swift with a production application using AVFoundation, Vision, ARKit, or CoreML. Experience in HIPAA-regulated environments or clinical software is highly desired.
Fit:Match develops Body AI technology spanning healthcare, sports, and retail. Our products, including the consumer QuadraScan applications and our clinical platform, apply body scanning and movement analysis to deliver precise, actionable insight. Our clinical work is conducted in partnership with a world-renowned orthopedic institution, and we hold ourselves to the standard that partnership demands.
Fit:Match is seeking a Lead iOS Engineer to serve as the founding technical hire on a clinical team. This individual will own the architecture of the iOS clinical application, partner with our ML/CV team on on-device pose and movement analysis, and establish the engineering standards against which the broader team will build. The role reports directly to the Head of Mobile Development. This is a technical senior individual contributor role.
This is a contract-to-hire position.
Own the end-to-end technical architecture of the iOS clinical application
Build the data-rich member experience at the heart of the platform: structured workout delivery and logging (prescribed versus completed), longitudinal progress visualization, assessment results, and educational content
Implement HealthKit and Apple Watch integration and present wearable-derived data — activity, sleep, recovery, heart-rate variability- in a member-friendly, longitudinal format
Partner with backend and web engineers to define the API contracts and shared data models underpinning training programs, assessments, and wearable data
Develop real-time pose estimation and movement-analysis capabilities using VNDetectHumanBodyPoseRequest, AVFoundation, and CoreML, advancing an existing live prototype to clinical-grade quality
Partner directly with ML/CV engineers on the on-device implementation of custom movement models
Define iOS engineering standards for the clinical team, including code organization, testing strategy, and release processes, building on the conventions of our existing mobile team where applicable
Mentor and review the work of a junior iOS engineer who will join the team shortly after this hire
Collaborate with our existing iOS team of three engineers, who ship our consumer QuadraScan applications, with the authority to evolve shared CI/CD and release infrastructure to meet clinical-grade requirements
A minimum of 7 years of professional experience shipping iOS applications in Swift, including at least one production application making substantive use of AVFoundation, Vision, ARKit, or CoreML (for example, real-time camera pipelines, on-device machine learning, or computer vision)
A well-developed perspective on iOS architecture, including composition, testability, and modularization, together with the judgment to apply these principles at a level appropriate to the team's maturity
Demonstrated experience serving as the senior iOS voice on a team, providing code review, mentorship, and technical direction
Experience working in a HIPAA-regulated environment, or the professional maturity to ramp into one quickly
Experience with healthcare, telehealth, or clinical software, particularly FDA-adjacent or EHR-adjacent work
Background in computer vision, biomechanics, motion capture, or sports science
Experience integrating with HealthKit and Apple Watch
A track record of shipping products that leverage on-device machine learning for safety-critical or measurement-critical use cases
How We Work
AI-assisted engineering is standard practice at Fit: Match. Tools such as Claude Code are an integrated part of our development workflow, and we expect engineers to use them thoughtfully and effectively.
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