Machine Learning Engineer - Health AIML at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

0.0

Posted On

25 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Generative AI, Software Engineering, Natural Language Processing, Large Language Models, TensorFlow, PyTorch, Jax, Huggingface, Agentic Systems, Prompt Tuning, RAG, Health Science, Cross-functional Collaboration

Industry

Computers and Electronics Manufacturing

Description

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.

Responsibilities

You will design, implement, and evaluate machine learning models and systems using deep learning and generative AI technologies. The role involves collaborating cross-functionally to apply engineering best practices to high-impact health products.