Machine Learning Manager Jobs in California

Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence.

We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you will have the unique opportunity to advance and ship state-of-the-art technology that impacts Apple users around the world!

Description

We are seeking an experienced Machine Learning Manager to lead a team of ML engineers focused on building new capabilities and delivering step-change quality improvements for our Visual Generation foundation models. The ideal candidate brings a proven blend of strategic thinking and product focus to solving deep technical research problems, specifically around driving data excellence for foundation model training. Typical projects involve leveraging billion-scale datasets, applying machine learning models to enrich data, and executing quality-focused data curation strategies.

In this role, you will work closely with cross-functional partners, including ML research, modeling, policy, and responsible AI teams, to maintain the highest standards of execution and safety. You will stay at the forefront of the latest AI research to rapidly apply impactful developments while simultaneously pioneering proprietary, experimental ideas designed specifically for Apple’s unique ecosystem.

Minimum Qualifications

• M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience

• 3+ years of experience as an ML Manager, leading teams through modern computer vision and generative AI research

• Experience managing cross-functional projects, connecting initiatives to engineers' interests, and helping engineers grow through mentorship and empathy

• 8+ years of experience training state-of-the-art generative or understanding models

• Proficiency in ML frameworks and distributed data processing pipelines as a hands-on technical leader

• Excellent communication skills and an ability to drive clarity in ambiguous circumstances

Preferred Qualifications

• Prior hands-on research experience working with data and building models

• Recent projects and experience with modern visual generative AI for images or videos

• Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.