About the Role
You will ideate, develop, and evaluate privacy-preserving machine learning, deep learning, and generative AI algorithms for Apple Intelligence features. The role involves collaborating with teams to ship high-quality software and emotional experiences to millions of users.
Requirements
Candidates must have strong fundamentals in machine learning and deep learning, along with hands-on experience in LLMs and automated evaluation frameworks. A Master's or Ph.D. in a technical field and proficiency in Python, C, C++, or Swift are required.
Full Job Description
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.
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