Summary

Posted: Jan 23, 2025

Role Number:200588150

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 innovate on innovative techniques in planning, memory representation, and reinforcement learning with human feedback to develop generative systems that achieve the highest levels of quality, reliability, and alignment with human intent.

• Deep technical expertise in machine learning and algorithm design, including at least one of: large language or multimodal model architectures, memory representation, planning, knowledge retrieval, natural language understanding, reinforcement learning.
• Hands-on experience developing complex ML systems in an applied setting, including post-training techniques like supervised fine-tuning, adapter training, and reinforcement learning from human feedback.
• Proficiency using python and deep learning frameworks (e.g. PyTorch) in a peer-reviewed environment
• Strong communication skills, comfort working with multiple engineering teams on complex projects, and experience contributing to an inclusive team culture
• Experience in building consumer digital health and wellness products

• PhD in a field such as computer science, mathematics, statistics, and at least 3 years of proven experience
• Experience applying a scientific approach to drive machine learning innovation: developing hypotheses, crafting experimentation strategies, and guiding data generation / collection (e.g. user studies, annotation workflows, A/B tests).
• Knowledge of health informatics or experience with sophisticated health data sources (e.g. EHRs, medical ontologies, wearables)
• Familiarity with privacy-preserving ML techniques

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 $175,800 and $312,200, 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.

• 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.