Machine Learning Engineer - Health AIML
Apple · Cupertino, California, United States
Computers and Electronics Manufacturing · 10,001+ employees
About the role
You will design, implement, and evaluate machine learning models and systems using deep learning and generative AI. The role involves solving complex problems in the health domain through cross-functional collaboration and the application of engineering best practices.
What they look for
Requirements
Candidates must have at least 6 years of professional experience and a degree in Computer Science, Engineering, Machine Learning, or Bioinformatics. A Ph.D. is preferred, along with strong expertise in generative models and large-scale production applications.
Full 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
6+ years of professional experience, either in industry or academia. Experience leading a team and/or a proven track record of cross-functional collaboration to deliver systems with machine learning capabilities. MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, Bioinformatics, or related fields (or equivalent qualification).
Preferred Qualifications
Ph.D. in Computer Science, Machine Learning, Bioinformatics, 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.
