Machine Learning Research Scientist - Health AIML

Machine Learning Research Scientist - Health AIML

The Health AIML team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.

Description

We're developing next-generation multimodal models to create intelligent health and fitness experiences. This role requires someone with strong expertise in large multimodal models to work at the intersection of AI and health to build foundational models that scale to billions of users worldwide. Your work will shape the future of health and fitness technologies at Apple. We are looking for a research lead to guide multimodality research. You will lead the development of foundational technology that enables models to understand health and fitness data.

Responsibilities

• Lead research into health and fitness representation models and multimodal models.
• Design, prototype and scale up new architectures to improve model intelligence.
• Execute and analyze experiments autonomously and collaboratively.
• Study, debug, and optimize model performance and computational performance.
• Contribute to training and inference infrastructure.
• Guide technical and architectural decision.

Minimum Qualifications

• PhD in Computer Science/Engineering, Machine Learning, Statistics, Mathematics or related field.
• Industry work experience.
• Experience landing contributions to major LLM training runs.
• Proven track record of publishing SOTA.
• Strong skills with deep learning frameworks such as PyTorch, JAX, or TensorFlow.

Preferred Qualifications

• Experience in training and evaluating multimodal models.
• Understand of time-series modeling, self-supervised learning, and cross-modal training.
• Ability to thoroughly evaluate and improve deep learning architectures in a self-directed fashion.
• Motivated by safely deploying LLMs in the health and fitness space.

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 $201,300 and $367,400, 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 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 At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants