The Health Sensing team builds outstanding technologies to support our users in living their healthiest, the happiest lives by providing them with objective, accurate, and timely information about their health and well-being. As part of the larger Sensor SW & Prototyping team, we develop algorithms for a variety of health sensors, including PPG, accelerometer, ECG.

Description

In this role, you will be at the forefront of developing ML algorithms for health sensing applications and ensuring the efficient evaluation of these models to be in production at scale. You will interact closely with ML engineers, clinicians, software and hardware engineers. You will deliver solutions on time and with high quality standing up to the standards of a customer facing product.","responsibilities":"Develop and implement machine learning and deep learning models using health sensing data

Analyze large-scale health data from wearable sensors to extract significant insights

Work across the entire ML development cycle, from setting up data pipelines to model evaluation

Analyze model behavior and finding weaknesses; drive design decisions with in-depth failure analysis

Build end-to-end pipelines that prioritize rapid iterations in support for reliability of a complex multi-year projects

Work multi-functionally to bring algorithms to real-world applications; this can span a wide range of partnerships with clinical authorities and engineering specialists across HW and SW

Preferred Qualifications

Interpersonal skills; comfortable in a collaborative and ground breaking research environments

MS or PhD or equivalent experience

Minimum Qualifications

BS in Computer Science, Engineering, Information Systems, or related technical field and a minimum of 3 years of equivalent experience

Proven experience in developing machine learning and deep learning models, preferably in the health domain

Proficiency in Python and ML frameworks e.g. Py Torch, Tensorflow

Experience with health data analysis, including time-series data, sensor data, and biomedical signal processing

Proven understanding of data preprocessing, feature extraction, and model evaluation techniques

Familiar with software development standard methods/teamworks

Sufficient SW skills to run large ML training jobs efficiently on a distributed backend with large volume of data

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 .

Pay & Benefits

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 $147,400 and $272,100, 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.