Senior Machine Learning Engineer, Applied Sensing & Health

Apple • Cupertino, CA

2d

About The Position

The Applied Sensing & Health team delivers critical Health and Fitness features forApple Watch, iPhone, and other Apple products. We are seeking a versatile applied MLengineer who thrives at the intersection of research and production systems. In thispivotal role, you will:• Translate cutting-edge ML research into optimized, production-ready algorithms forsensor data processing• Design and conduct data-driven research to improve fitness and health algorithms,analyzing large-scale sensor datasets to derive actionable insights• Implement ML models and pipelines end-to-end—from prototyping in Python toproduction deployment in C++• Collaborate with research scientists to evaluate new approaches and drive themtoward production• Build tools and infrastructure for data analysis, model evaluation, and algorithmvalidationYour work will span the entire ML workflow: researching novel approaches, prototypingsolutions, analyzing data at scale, and implementing robust production systems. You'llwork closely with ML researchers, health scientists, and multi-disciplinary teams acrossApple, delivering best-in-class systems that impact millions of users daily.

Requirements

• MS or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or related field, plus 3+ years of experience applying ML to real-world problems.
• Strong foundation in machine learning with hands-on experience across the full MLworkflow: research, experimentation, model development, evaluation, and productiondeployment
• Proficiency in Python for ML development, data analysis, and statistical modeling;experience with ML frameworks (PyTorch, TensorFlow, scikit-learn, etc.)
• Experience translating research papers or prototypes into production-quality code
• Strong data analysis skills: comfortable working with large datasets, conductingexperiments, visualizing results, and drawing meaningful conclusions
• Demonstrated ability to work independently on research problems while alsocollaborating effectively with cross-functional teams
• Familiarity with modern GenAI-enabled development workflows and tools (e.g., AI-assisted coding, automated code generation, intelligent debugging), coupled with astrong aptitude for learning and adapting to evolving technologies.
• Intellectual curiosity and willingness to dive deep into both algorithmic details andimplementation challenges
• Exceptional communication skills; able to explain complex technical concepts todiverse audiences

Nice To Haves

• A demonstrated passion for health and fitness, driven to empower users throughtechnology
• Experience with sensor data analysis, signal processing, or time-series modeling
• Knowledge of biomechanics, exercise physiology, or human movement analysis
• C++ programming skills with ability to optimize ML algorithms for production systems,including performance tuning and memory management
• Understanding of systems-level programming concepts including multi-threading,concurrency, and real-time constraints
• Publications or demonstrated research contributions in ML, computer vision, or relatedareas
• Track record of shipping ML-powered products or features at scale

Responsibilities

• Translate cutting-edge ML research into optimized, production-ready algorithms forsensor data processing
• Design and conduct data-driven research to improve fitness and health algorithms,analyzing large-scale sensor datasets to derive actionable insights
• Implement ML models and pipelines end-to-end—from prototyping in Python toproduction deployment in C++
• Collaborate with research scientists to evaluate new approaches and drive themtoward production
• Build tools and infrastructure for data analysis, model evaluation, and algorithmvalidation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree