Senior Machine Learning Engineer, Applied Sensing & Health

Senior Machine Learning Engineer, Applied Sensing & Health

Cupertino, California, United States Software and Services

Are you a seasoned engineer passionate about transforming cutting-edge ML research into production systems that improve lives? The Applied Sensing & Health team is revolutionizing health and fitness technology, empowering millions to live healthier, more active lives. We develop sophisticated machine learning algorithms and sensor fusion systems that track human motion, turning raw data into meaningful, actionable insights for Apple users worldwide.

Join a team of world‑class experts dedicated to applied ML in human movement and health. Here, you’ll bridge the gap between research and production—translating novel ML approaches into robust, high‑performance systems that delight and inspire millions of Apple customers every day. This is a unique opportunity to blend ML expertise with systems engineering in service of a mission that truly matters.

The Applied Sensing & Health team delivers critical Health and Fitness features for Apple Watch, iPhone, and other Apple products. We are seeking a versatile applied ML engineer who thrives at the intersection of research and production systems.

In this pivotal role, you will:

• Translate cutting‑edge ML research into optimized, production‑ready algorithms for sensor 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 to production deployment in C++.
• Collaborate with research scientists to evaluate new approaches and drive them toward production.
• Build tools and infrastructure for data analysis, model evaluation, and algorithm validation.

Your work will span the entire ML workflow: researching novel approaches, prototyping solutions, analyzing data at scale, and implementing robust production systems. You’ll work closely with ML researchers, health scientists, and multi‑disciplinary teams across Apple, delivering best‑in‑class systems that impact millions of users daily.

• MS or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or related field
• 3+ years of experience applying ML to real‑world problems.
• Strong foundation in machine learning with hands‑on experience across the full ML workflow: research, experimentation, model development, evaluation, and production deployment
• Proficiency in Python for ML development, data analysis, and statistical modeling; experience with ML frameworks (PyTorch, Tensor Flow, scikit‑learn, etc.)
• Experience translating research papers or prototypes into production‑quality code
• Strong data analysis skills: comfortable working with large datasets, conducting experiments, visualizing results, and drawing meaningful conclusions
• Demonstrated ability to work independently on research problems while also collaborating 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 a strong aptitude for learning and adapting to evolving technologies.
• Intellectual curiosity and willingness to dive deep into both algorithmic details and implementation challenges
• Exceptional communication skills; able to explain complex technical concepts to diverse audiences

• A demonstrated passion for health and fitness, driven to empower users through technology
• 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 related areas
• Track record of shipping ML‑powered products or features at scale

At Apple, base pay is one part of our…