Job Details

Weekly Hours: 40

Role Number: 200649397-0836

Summary

Do you have a passion for building the best photos app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Photos Intelligence team in Camera & Photos develops privacy-respecting, Artificial Intelligence (AI) and Machine Learning (ML) technologies to ship features and emotional experiences to hundreds of millions of users worldwide. We are looking for an experienced Machine Learning Engineer to join our team in Cupertino and be a part of this mission.

Description

In this role, you will be working on ideating, developing and evaluating privacy preserving machine learning, deep learning, and generative AI algorithms for Apple Intelligence features. Candidates should have a proven track record that demonstrates a deep understanding of AI ML technologies, agentic workflow evaluations, a passion for designing and developing high-quality software, strong collaboration, and excellent interpersonal skills.

Minimum Qualifications

• Strong machine learning and deep learning fundamentals

• Hands on experience with large language models (LLMs), prompt optimization, and fine-tuning of LLMs

• Hands on experience with automated evaluation frameworks for agentic workflows

• Strong programming and software engineering experience in one or more of the following languages: Python, C, C++, Swift

• Masters or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field

Preferred Qualifications

• Extensive experience with evaluation data and frameworks

• Experience with large vision-language and multi-modal foundation models

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) .