Machine Learning Engineer - Health AIML

Apple • Cupertino, CA

4d

About The Position

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 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, deep learning
and generative AI to design, implement, tune and evaluate machine learning
systems to solve ambitious problems involving unique data and high impact
products. The successful candidate should possess excellent interpersonal skills
and ability to work cross functionally to rapidly apply engineering best
practices and novel research techniques at the intersection of Health, ML and
consumer products.

Requirements

• 10+ years of overall software development experience.
• Experience in leading a team and / or a 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.

Nice To Haves

• 5+ years of hands-on experience with state-of-the-art machine learning and / or deep learning applied to production applications.
• Strong background in generative models, natural language processing, and / or large language models.
• Proficiency 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 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree