Summary Posted: Mar 23, 2024 Role Number: 200544161 The Health Sensing team builds best-in-class 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 take a multimodal approach, using a variety of sensors across HW platforms, such as camera, PPG, motion, and temperature. Key Qualifications Key Qualifications Leading your team to build scalable ML development pipelines to enable rapid iteration, including data curation, implementation of reusable algorithm modules crafted to run on embedded systems, tooling to process large data sets and analysis of KPIs to assess performance Giving technical direction and mentorship on utilization of AI/ML techniques to drive your team to develop validation frameworks to intelligently test complex multimodal ML models Work with peer managers and teams across technical domains to understand the problem space in ML development, identify key requirements, design and implement engineering solutions including pipelines, frameworks, tooling, and production code to accelerate the transition of prototype ML algorithms to production. Define & deliver key performance indicators to assess model performance with a focus on user experience Work multi-functionally with prototypers, software developers, and data scientists to define, socialize, and enforce development practices to ensure the highest quality result Excellent programming skills in relevant programming languages (e.g., Python, c, c++), and machine learning frameworks (e.g., PyTorch or TensorFlow) Expertise in development of scalable pipeline infrastructure across distributed backend systems Experience with large scale data solutions with distributed data processing frameworks (e.g. MapReduce, Spark) and crafting/optimizing scalable frameworks to run machine learning experiments Willing to take ownership and set direction, especially in gray areas Strong sense of responsibility Familiar with software development standard methods/collaborations Excellent judgment and integrity with the ability to make timely and sound decisions. Ability to self-direct when necessary, all the while supporting strong team dynamics Excellent communication skills; comfortable in a collaborative and cutting-edge development environment Description Description We are the algorithm team behind ECG, oxygen saturation, sleep tracking and many more health features on Apple Watch. Our group is looking for an experienced manager to lead the new Machine Learning Platform Engineering team. The manager will direct a team of a data processing pipeline specialists with in-depth knowledge of system validation, algorithm design, and strong programming and framework optimization skills.
In this role, you will lead a team at the forefront of AI/ML algorithm development, facilitating the design and validation of features through the use of scalable, shared pipelines and common algorithm blocks. Your team will collaborate with a variety of ML researchers, software engineers, and designers with the shared goal of delivering impactful customer facing health features. Education & Experience Education & Experience BS and a minimum of 10 years relevant industry experience Additional Requirements Additional Requirements Pay & Benefits 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 $183,400.00 and $316,900.00, 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 take affirmative action to ensure 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.
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