Summary

The Health Sensing team builds outstanding technologies to support our users in living their healthiest, happiest lives by providing them with objective, accurate, and timely information about their health and well-being. As part of the larger Sensor SW & Prototyping team, we take a multimodal approach using a variety of sensors across HW platforms, such as camera, PPG, and natural languages.

Minimum Qualifications

Bachelors, Masters or PhD in Computer Science, Data Science, or a related field; or equivalent experience
Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
Ability to write clean, performant code and collaborate using standard software development practices
Experience with applied LLM development, prompt engineering, chain of thought, etc.
Experience in building data and inference pipelines to process large scale datasets
Expertise in deep learning (e.g. hands-on training and evaluation experience with transformers)

Preferred Qualifications

MS and a minimum of 3 years relevant proven experience or PhD in relevant fields
Knowledge in human evaluation techniques, such as RLHF, and analyzing and deriving insights from that data
Customer-focused / product oriented. Experience or strong personal interest in building consumer digital health and wellness products
Strong communicator, comfortable working with multiple engineering teams on complex projects

Description

In this role, you will be at the forefront of developing, evaluating and improving generative models for real-world health/wellbeing applications on their objective quality and alignment with human intent and perception, such as truthfulness, adaptability, and model generalizability. You will work on data and evaluation pipeline of both human and synthetic data for model evaluation, leverage ML technologies such as reinforcement learning with human feedback and adversarial models. - Work across the entire ML development cycle, such as developing and managing data from various endpoints, managing ML training jobs with large datasets, and building efficient and scalable model evaluation pipelines - Analyze model behavior, identify weaknesses, and drive design decisions with failure analysis. Examples include, but not limited to: model experimentation, adversarial testing, creating insight/interpretability tools to understand and predict failure modes, designing and improving human evaluation/annotation methods to accurately measure model performance - Collaborate with engineers to build reliable end-to-end pipelines for long-term projects - Work cross-functionally to apply algorithms to real-world applications with designers, clinical experts, and engineering teams across Hardware and Software - Ability to independently run and analyze ML experiments for real improvements

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 Sensing

Apple

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