Machine Learning Engineer- Health AIML

Apple • Cupertino, CA

19h

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 engineers and machine learning engineers
passionate about delivering innovative technologies that impact millions of
users. We are looking for a senior engineer passionate 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 ML and deep learning to
design, implement, tune and evaluate machine learning models and algorithms to
solve ambitious problems involving unique data and objectives including state of
the art generative AI models and tools. The successful candidate should possess
excellent interpersonal skills and ability to work multi-functionally to apply
novel research at the intersection of Health and ML into customer features.

Requirements

• 10+ years of overall software development experience
• Experience in leading a team and track record of multi-functional collaboration to deliver customer-facing features in production
• BS/MS/Ph.D. in Computer Science, Computer Engineer, Machine Learning, or related fields or equivalent qualification

Nice To Haves

• PhD preferred
• 5+ years experience in hands-on experience in state-of-the-art machine learning and deep learning as applied to large-scale datasets
• Strong background in generative models, natural language processing, and large language models
• Proficiency working with large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch, Jax, Huggingface)
• 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