Machine Learning Engineer - Health AIML

Apple Inc.; Cambridge (MA); On-site; USD 194,700 - 354,700; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Education reimbursement

Job summary

Apple Inc. in Cambridge, Massachusetts, is seeking a Senior Engineer specializing in machine learning and AI to join the Health AI team. This role focuses on developing innovative technologies that impact millions of users by solving real-world health problems.

The ideal candidate will have over 10 years of software development experience, strong skills in machine learning and deep learning, and a proven track record of cross-functional collaboration.

Apple offers competitive base pay ranging from $194,700 to $354,700, along with benefits like medical coverage, stock options, and education reimbursement.

Qualifications

• 10+ years of overall software development experience.
• Experience leading a team and delivering machine learning features.
• Strong background in generative models and NLP.

Responsibilities

• Design, implement, tune, and evaluate machine learning models.
• Solve real-world health domain problems impacting customers' lives.
• Collaborate cross-functionally to apply engineering best practices.

Skills

Software development

Machine learning

Deep learning

Generative AI

Cross-functional collaboration

Large-scale datasets

NLP

Education

BS/MS/Ph.D. in Computer Science or related fields

Tools

TensorFlow

PyTorch

Jax

Huggingface

Job description

Cambridge, Massachusetts, United States Machine Learning and AI

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.

Description

In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state‑of‑the‑art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross‑functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.

Minimum Qualifications

• 10+ years of overall software development experience.
• Experience leading a team and/or a proven track record of cross‑functional collaboration to deliver customer‑facing features with machine learning capabilities in production.
• BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).

Preferred Qualifications

• Ph.D. in Computer Science, Machine Learning, or a related field.
• Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
• 5+ years of hands‑on experience in state‑of‑the‑art machine learning and deep learning applied to large‑scale datasets and/or production applications.
• Proficiency developing and working with large‑scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
• Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi‑agent, RAG, tool use, memory management, etc.).
• Experience with healthcare data, products, and workflows.
• Ability to thrive in a fast‑paced environment, deal with uncertainty, and adapt to new and changing requirements.
• Proven track record of contributing to diverse teams in a collaborative environment.
• A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.

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 $194,700 and $354,700, 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.

Apple accepts applications to this posting on an ongoing basis.