at Apple
Location
Sunnyvale, United States of America
Compensation
$150k–$278k USD
Type
full time
Posted
3 days ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $278k · in the market band
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Your work will directly impact the development of health-related features in Apple products. Data Integrity, in this role, means ensuring the collection of high-quality data from health user studies through robust data analysis pipelines and operator-facing tools and dashboards. You will work closely with cross-functional teams to identify user study problems and advise decision-making through data analysis. This role focuses on building new data and platform solutions to improve the usability of our systems for large-scale user studies that gather critical data to design and qualify Apple's health software products.
You will design and build new web-based monitoring and visualization tools that give study teams real-time insight into study health and data quality, serving multiple concurrent studies that range in scale from tens to thousands of participants. You will leverage LLM-based agentic workflows not only within the product itself by integrating OpenAI/Anthropic APIs to create richer, smoother user experiences in study tools, but also within your own development lifecycle, using LLMs in a closed-loop workflow spanning planning, architecture, design review, implementation, PR generation, and deployment.
A key part of this role is partnering directly with the researchers, engineers, and study operations teams who use your tools daily. Each study often comes with its own custom requirements, and you will deeply engage with stakeholders to understand their specific needs, gather feature requests, and prioritize improvements via established planning processes all while upholding Apple's privacy-first policies when handling sensitive health data. You are not just building — you are owning the relationship between your platform and the people who depend on it.
Bachelor’s degree in Computer Science, Engineering, Informatics, or equivalent with relevant proven experience with biomedical, health, or sensitive data.
3+ years of software engineering experience
Strong software development skills, with proficiency in Python
Experience integrating LLM-based functionality (e.g., OpenAI, Anthropic APIs) into production web tools to create richer, smoother user experiences
Experience leveraging LLMs in a closed-loop development workflow — from planning and architecture, to design review, to implementation, to generating pull requests, to deployment
7+ years of software engineering experience, 3+ years in backend web service development
Experience building web application backends for data monitoring and visualization (e.g., Flask, FastAPI, or similar frameworks; REST APIs; serving data to frontend dashboards)
Demonstrated skill and experience with distributed data processing systems such as PySpark and SparkSQL
Demonstrated experience leading design reviews, mentoring engineers, and influencing technical/product roadmaps
Familiarity working with systems such as blob storage, elastic compute, and virtual instances; experience with technologies such as Delta Lake, AWS; container orchestration (Kubernetes or similar); workflow orchestration (Apache Airflow or similar) are all a benefit
Experience with tools such as Git, Docker, Jupyter notebooks, Linux command line
Experience with basic time series data analysis such as trend detection, anomaly identification, signal processing fundamentals
Demonstrated ability to engage directly with tool users and stakeholders to gather requirements, understand workflows, and translate needs into platform features and improvements
Experience working with sensitive or regulated data under strict privacy requirements
Here is your opportunity to come and join an exciting engineering team responsible for building next-generation health sensors and features. You will be responsible for building new web-based monitoring and visualization platforms, extracting insights from sophisticated data sets, and developing intelligent automation to support multiple user studies per year ranging from focused studies with tens of participants to large-scale studies with thousands of participants. If you are passionate about health research and development, this is an exciting opportunity.
At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly, and making the kind of impact that changes people's lives. We are seeking a software engineer to build backend systems, develop visualization tools, and help us improve the platforms used for research and development. The research studies we launched are helping Apple improve existing health experiences with our products, and build new ones. As a member of our fast-paced group, you will lead design reviews, mentor other engineers, and directly influence both the technical and product roadmap for the web tools that power our health user studies.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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