Health Sensing Data Engineer

The Health Sensing HW team develops groundbreaking health sensors that are central to helping our customers live a healthier lifestyle. We are looking for a data engineer with a desire to innovate in the space of optical sensors and health sensing features, with a passion for data pipelines/infrastructure and software development. You will develop system models of one or more health sensors to assess the performance of the sensor and inform design decisions. You will create tools to consume data from cloud-based databases, run data quality analyses, and root cause outliers. You will also be responsible for building tools to streamline the data analyses with existing DL/ML algorithms. You will work closely with internal and cross-functional teams to tackle challenges involving sensors, algorithms, and user behavior, and you will play a key role in developing and quantifying the performance of hardware solutions to enable optical sensing features.

The team you will join is responsible for designing and delivering health features for Apple's wearable devices. We are highly collaborative and partner with a variety of teams across Apple.

• Solicit and consolidate requirements from sensor engineers for algorithm evaluation, behavioral modeling, data quality analyses, outlier analyses, and factory data analysis tools. Develop and maintain these tools/codebases/pipelines and consolidate common blocks.
• Manage and analyze data from user studies to identify key behaviors and establish relevant dependencies.
• Produce / present meaningful data visualizations to the team.
• Evaluate the impact of design choices on engineering metrics; propose trade-offs; and communicate the results and insights to cross-functional teams.
• Maintain simulation code with best software engineering practices, optimize and refactor codebase when necessary for performance and readability.
• Use developed code to predict system/user performance across a range of operating conditions including HW/FW settings, user physiology, ambient conditions, etc.

• Experience writing, debugging, and maintaining computer simulation code with strong software development skills, with proficiency in Python.
• Experience developing data analytics systems for early-stage projects to help team learn about unknown dependencies.
• BS and a minimum of 3 years relevant industry experience

• Experience with unit test development.
• Collaborative and willing to work in cross-functional fast-paced technology development.
• Excellent written and verbal communications skills.
• MS, or PhD in Computer Science, Electrical Engineering, Physics, or related field with 2+ years of relevant hands-on experience.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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

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