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Applied Sensing & Health Algorithm Engineer

Today San Diego, CA

The Applied Sensing & Health team has built innovative ways for users to improve their health, watch for their lives, and get personalized insights from their daily patterns through multimodal sensing and AI models. This team combines advanced machine learning, including integration, adaptation, and tuning of foundation models, with contextual sensing, bolstered by innovative study design, to derive user insights spanning health, fitness, and safety. This has enabled us to deliver meaningful features like Cardio Fitness, Journaling Suggestions, Fall and Crash Detection, and our latest advances to bring our suite of Fitness metrics to AirPods Pro 3, delivering 50 workout types in a single year.

Description

Most importantly, 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":"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

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)

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Experience working with cross-functional and/or interdisciplinary teams

Familiarity with privacy-preserving ML techniques is a plus

Minimum Qualifications

PhD or 5+ years research experience in Mechanical Engineering, Biomedical Engineering, Electrical Engineering / Computer Science or related field with relevant domain knowledge

Experience in some of the following: signal processing, biomechanics, machine learning, controls, dynamics, statistics, programming

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

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 $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.

Client-provided location(s): San Diego, CA
Job ID: apple-200644760-3543_rxr-660
Employment Type: OTHER
Posted: 2026-02-06T19:18:07

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion

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