Job Details

Weekly Hours: 40

Role Number: 200641577-3760

Summary

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.

Description

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.

Minimum Qualifications

• 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

Preferred Qualifications

• 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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .