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FIT:MATCH.ai

Lead iOS Engineer – Clinical Platform

FIT:MATCH.ai

Lead iOS Engineer building clinical applications for FitMatch. Driving technical architecture and collaborating with a mobile team in healthcare technology.

Posted 7/27/2026contractRemote • California, Florida, New York, Washington • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in iOS application development with a focus on HealthKit and Apple Watch integration, alongside a strong foundation in computer vision and machine learning. Capable of leading technical architecture, mentoring junior engineers, and ensuring compliance in a HIPAA-regulated environment.

Highest-signal resume keywords
IOS Application DevelopmentSwift ProgrammingAVFoundationCoreMLHealthKit Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
IOS Application DevelopmentSwift ProgrammingAVFoundationCoreMLVNDetectHumanBodyPoseRequestVision FrameworkARKitReal-Time Pose EstimationMovement AnalysisAPI Contract Definition
Soft Skills
MentorshipTechnical DirectionCollaborationCode Review
Tools & Technologies
Apple WatchHealthKitCI/CD InfrastructureTesting StrategyRelease Processes
Industry Keywords
HIPAA ComplianceHealthcare SoftwareTelehealthClinical SoftwareFDA-Adjacent WorkEHR-Adjacent WorkComputer VisionBiomechanicsMotion CaptureSports Science

Tech Stack

Tools & technologies
iOSSwift

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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 (Preferred)
  • Background in computer vision, biomechanics, motion capture, or sports science (Preferred)
  • Experience integrating with HealthKit and Apple Watch (Preferred)
  • A track record of shipping products that leverage on-device machine learning for safety-critical or measurement-critical use cases (Preferred)

Benefits

Comp & perks
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