Generative AI Engineer - Health Cupertino,California,United States Hardware 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. **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. **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 **Key Qualifications** **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 **Education & Experience** **Additional Requirements** **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 (https://www.apple.com/careers/us/benefits.html) 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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** 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. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .