Health AIML - Distinguished Engineer

Apple • Cupertino, CA

5d

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 and machine learning engineers passionate about delivering
innovative technologies for our users. We are looking for a senior technical
leader that will explore new approaches to go beyond state-of-the-art
methodologies.

In this senior technical leadership role, you will define our system
architecture for model building and evaluation. Our goal is to deliver insights
that drive product and model development and improvements with wins for our
end-user experience, all while upholding the privacy standards that Apple is
known for. With the advent of Apple Intelligence, you will face novel challenges
in developing representative datasets and simulations to deliver a highly
personalized user experience. Utilizing personal context presents specific
challenges to delivering accurate responses to every user, demanding innovative
evaluation solutions. These models power the next generation of Siri and Apple
products, and you will be part of this exciting journey.

Requirements

• 10+ years of technical leadership experience
• Experience with Machine Learning development and evaluation
• Demonstrated contributions towards the development of natural language products and/or technologies
• Proven and consistent track record of forming senior partnerships to solve complex technical problems at scale, ideally for products with a global customer base
• MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field

Nice To Haves

• Extensive experience delivering large-scale product or platform outcomes, leveraging cross-functional partnerships
• Proven record of gaining technical expertise on the job; demonstrates the ability to learn new technologies independently
• Excellent understanding of an ML-based product lifecycle
• Demonstrated depth of knowledge and application of statistics-based evaluation methodologies or user success metrics
• Expertise in generative AI technology, large language models (LLMs)
• Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components
• Proven innovation record
• Experience providing technical guidance to an engineering organization
• Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making
• Experience in establishing and maintaining technical cross-functional partnerships across multiple organizations
• Experience with technical presentations for multiple audiences, including executives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees