Data & Analytics Engineer, Health & Fitness, Sensing & Connectivity

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build service we create or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add Applied Sensing u0026 Health team builds the pipelines and infrastructure that turn raw motion data from Apple devices into insights that help users improve their health. Every time someone exercises or moves with their device engineers and scientists on this team are behind the systems that capture validate and make sense of that data at scale. As a member of our dynamic group youll build and monitor the data pipelines that power our products run large-scale analyses that uncover how people actually use and benefit from them and help shape upcoming products that delight and inspire millions of Apple customers every day. Join our team and enrich lives by shipping software and data systems that motivate fitness goals improve health and enhance the way customers interact with our products.

In this role you will design and build the data infrastructure that powers our next generation of Health and Fitness features from ingesting raw sensor data to the platforms and tools that turn it into research insight. This includes architecting scalable data pipelines ensuring user study data quality gathering algorithm performance insights and validating the software implementation. Key responsibilities of this role are:nnDesign and develop scalable parallelized data pipelines to process and transform complex time-series health data captured from consumer-grade sensorsnBuild tools and dashboards to visualize data and support data exploration analysis and research with study stakeholders to gather requirements and contribute to the study design tooling development and data quality monitoring and run analytics to validate algorithm simulation output against ground truth and build automated QA metrics to track feature performance over timenWork closely with cross-functional teams including Software Algorithms and EPM to support design integration testing and deployment of the health software.n

Design and develop scalable parallelized data pipelines to process and transform complex time-series health data captured from consumer-grade sensorsnBuild tools and dashboards to visualize data and support data exploration analysis and research with study stakeholders to gather requirements and contribute to the study design tooling development and data quality monitoring and run analytics to validate algorithm simulation output against ground truth and build automated QA metrics to track feature performance over timenWork closely with cross-functional teams including Software Algorithms and EPM to support design integration testing and deployment of the health software.

BS degree in Computer Science Engineering Data Science or a related technical of 3 years of industry experience building and maintaining large-scale data processing or simulation pipelines or performing large-scale data programming skills in Python with a focus on writing clean maintainable and high-performance with SQL for querying transforming and analyzing structured -on experience with distributed computing frameworks such as Apache leveraging AI tools to accelerate problem-solving and development.

Applied machine learning experience including building models on large datasetsnExperience working with sensor data time-series data or healthcare datasetsnExperience in cloud environments (AWS GCP or Azure) with containerization tools like Docker and KubernetesnComfort working in Linux environments including scripting navigation and basic troubleshootingnExposure to clinical studies FDA validation processes or regulated health environmentsnExperience building iOS apps; familiarity with C is a plusnSelf-directed and self-motivated with experience producing architecture and design documentsnStrong communication and cross-functional collaboration skills including translating requirements from technical and non-technical partners into practical engineering tasks