Software Development Engineer
About the role
Role focused on building backend systems, web-based monitoring and visualization platforms, and intelligent automation to support multiple health user studies. Responsible for data integrity, real-time study health dashboards, and leveraging LLM-based workflows within product tools and development lifecycle. Requires leadership in design reviews, mentoring, and influencing technical/product roadmap for web tools powering health studies at Apple.
Responsibilities
- Build backend systems and web-based monitoring/visualization tools for health studies
- Extract insights from large and sophisticated data sets
- Develop intelligent automation to support multiple user studies per year (ranging from tens to thousands of participants)
- Design and build real-time monitoring and data-quality dashboards for study teams
- Integrate OpenAI/Anthropic APIs to create richer user experiences in study tools
- Lead design reviews, mentor engineers, influence technical/product roadmap
- Engage with researchers, engineers, and study operations to gather requirements and prioritize improvements
- Uphold Apple’s privacy-first policies when handling sensitive health data
- Own the relationship between the platform and its users of study tools
- Apply LLM-based workflows in planning, architecture, design review, implementation, PR generation, and deployment
Qualifications
- 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
- 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
- Experience leading design reviews, mentoring engineers, and influencing technical/product roadmaps
- Familiarity with blob storage, elastic compute, virtual instances; experience with Delta Lake, AWS; container orchestration (Kubernetes or similar); workflow orchestration (Apache Airflow or similar) a benefit
- Experience with tools such as Git, Docker, Jupyter notebooks, Linux command line
- Experience with basic time series data analysis (trend detection, anomaly identification, signal processing)
- Demonstrated ability to engage directly with tool users and stakeholders to gather requirements and translate needs into platform features
- Experience working with sensitive or regulated data under strict privacy requirements
Skills
Benefits
- Comprehensive medical and dental coverage
- retirement benefits
- discounted products and free services
- education reimbursement (tuition)
- discretionary bonuses or commission payments (potential)
- relocation (potential)
- employee stock programs (discretionary RSUs, stock purchase plan)
About Apple
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
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