Sr. Research Data Engineer
Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI
Join us in the Health Data Science group at Apple, to help us drive forward the research that will shape upcoming products and further our understanding of human health. Our infrastructure team works closely with fellow engineers, data scientists, and a variety of cross-functional teams to build best-in-class data platforms for AI/ML that adhere to Apple’s highest principles of privacy and security. These platforms support various health research endeavors, including the studies found in the Apple Research app. Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly, and making the kind of impact that changes people's lives. We are seeking an energetic and self-driven software engineer to help design, implement, and deliver our data platform and pipelines for Health research and development, including the data from the Apple Research app. The longitudinal research studies we launched in November 2019 will help Apple improve existing health experiences with our products, as well as create new ones. As a member of our fast-paced group in Apple's Health Research Applications group, you will have the unique and rewarding opportunity to shape the systems that allow our products to delight and inspire millions of Apple’s customers every day.
- 3+ years of industry experience
- Excellent programming skills in at least one of Scala, Java, or Python
- Experience with Spark
- Ability to communicate technical ideas clearly within the team
- Experience with ETL, data warehousing environments helpful but not required
Apple's Health team is seeking a Software Engineer to build out our data platform. We believe researchers and data scientists should be able to focus on the hardest problems from our sensors to healthcare: to enable this, the platform we are building enables high performance computing, while maintaining the highest degree of security and privacy. You will be building on top of existing secure environments, which provide the underlying infrastructure; but your work will directly influence its evolution. In addition to using technical knowledge to drive features and improvements, you must be comfortable with rapidly evolving requirements, and have excellent interpersonal skills. Success depends on working with cross-functional teams. Responsibilities: Build software to enable data scientists, researchers, and data engineers to produce performant, robust, and reproducible analyses, models, and data products. Work with cross functional teams to better capture requirements. Participate in architecture and code reviews. Maintain relentless focus on performance, usability, and security.
Education & Experience
BS degree in Computer Science or related field, or equivalent work experience.