About the Role

Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. And we are looking for hardworking engineers who can contribute to building the ecosystem of tooling necessary to create these exciting technologies.

We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple's ecosystem. Our work is behind essential features such as Camera, Text & Handwriting recognition, and Apple Intelligence experiences (Image Playground, Writing Tools, Smart Script, Math Notes..).

Responsibilities

In this role, you will be building infrastructure to support product-focused machine learning projects. You will contribute significantly in a hands-on technical manner while managing a team to build systems that leverage machine learning to index terabytes of data for projects in domains like image generation, LLMs, computer vision, natural language processing, human-computer interaction and text recognition. You will define and build out systems for analysis of failure modes of algorithms built upon this data, and for reporting overall benchmarking results for model comparisons. The technology you and your team builds will play a major role in defining important datasets, ingestion of annotated/inferred data into our systems, and making the data available to machine learning scientists in a seamless manner. This role requires a diverse set of skills, from tackling low-level distributed computing challenges at bare metal, to contributing to internal client user experiences by building stable interfaces, and everything in between.

As the ideal candidate, you enjoy variety, and are passionate about working on new things on a frequent basis. You love working with a large number of people across teams throughout the company, and driving solutions that take multiple partners into account. You are either a machine learning industry pro, or an outstanding engineer wanting to expand your horizons and learn more about the nitty gritty of how ML projects are launched from inception to release.

Minimum Qualifications

• Bachelors, Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or equivalent experience
• 5+ years of experience in full-stack development with 2+ years in a managerial, or demonstrated lead role
• Experience in Java, Go and/or Python, and C/C++
• Solid working knowledge of machine learning fundamentals
• Proven experience in systems engineering fundamentals and system design, and can show strong expertise in one or more systems engineering stacks

Preferred Qualifications

• Domain experience in machine learning, AI, computer vision, or a related field (computer graphics, image processing, multimedia, etc.)
• Experience with macOS and/or iOS development and familiarity with UNIX-based systems
• Ability to provide publicly-available samples of work done, or shown success in coding competitions/hackathons is desired
• Familiarity with Objective-C

Equal Opportunity

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.