Description

Description

You will help ship interactive features that impact millions of users on a daily basis. You take responsibility; you demonstrate creativity, initiative, and the ability to work to deadlines. You feel a personal stake in the product you ship. You thrive in uncertainty and strive to bring order to it. You keep your eye on the ball; you build strong relationships; and you are constantly looking to improve yourself and your team.

Responsibilities

• In this position, you will be working on applied sensing technologies. Roles and responsibilities include:
• Designing and supporting user study data collections for model development
• Designing and implementing models and algorithms for Health and Fitness use cases, driving end-to-end performance and failure analysis
• Optimizing implementations for power, memory and performance
• Close coordination with multidisciplinary teams across the company
• Working closely with scientists, engineers, QE, and project managers throughout the software lifecycle in successfully delivering best-in-class secure and scalable systems

Minimum Qualifications

• MS or PhD in a quantitative modeling and data science discipline such as machine learning, computer science, statistics/biostatistics, health informatics or similar
• Strong background in developing deep learning, foundation, and/or generative AI models for multiple data modalities (time series, images, language, etc.) for applications in health
• Experience applying a scientific approach to machine learning modeling from defining hypotheses, designing experiments, testing, failure analysis, and guiding data collection in user studies
• Strong working knowledge of Python, Spark, or equivalent and running experiments with data at scale

Preferred Qualifications

• Hybrid scientist/engineer who can do modeling, data pipelining, and/or on-device implementation
• Experience developing generative AI systems, such as large language models, in an applied setting, including post-training techniques like supervised fine-tuning, adapter training, and reinforcement from human feedback
• Excellent interpersonal skills and communication (written and verbal)
• Experience working with cross-functional and/or interdisciplinary teams
• Familiarity with privacy-preserving ML techniques is a plus

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 $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 .