Summary

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 Software & Prototyping team, we take a multimodal approach using a variety of sensors across hardware platforms, such as camera, wearable sensors, and natural language.

Minimum Qualifications

Expertise in ML development standard methodologies, with hands-on experience building efficient, repeatable, scalable pipelines for model training, experimentation, and analysis
Proficiency using python and deep learning frameworks (e.g. PyTorch) in a peer-reviewed environment. Ability to write clean, performant code following standard software development practices.
Experience collaborating with ML scientists to improve model performance via thorough experimentation and failure analysis. For example, experience with synthetic data generation, data collection design, sampling strategies, adversarial testing, or perturbation studies.
Familiarity with post-training techniques for applying large language models, such as distillation, chain of thought prompting, and knowledge injection.
Strong communication skills, comfort working with multiple engineering teams on complex projects, and experience contributing to an inclusive team culture
Experience or strong interest in building consumer digital health and wellness products

Preferred Qualifications

MS in computer science, data science, statistics, or similar and a minimum of 3 years of relevant proven experience
Knowledge of health informatics or experience with complex health data sources (e.g. electronic health records, medical ontologies, wearables)
Experience deploying machine learning models in a production environment

Description

In this role, you will be at the forefront of developing, evaluating and improving generative models for real-world health/wellbeing applications. You will work across the ML development cycle to develop repeatable, scalable pipelines for model training, experimentation, and deployment, using innovative technologies such as distillation, knowledge injection, and reinforcement learning with human feedback.

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 $143,100 and $264,200, 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.

Generative AI Engineer

Health

Apple

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