Machine Learning Engineer, Data for Foundation Models

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 Photos Generative Edits. 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 a machine learning research engineer with experience building high-quality datasets for foundation model training. The ideal candidate has solid ML fundamentals, experience with applied research, and hands-on knowledge of constructing large scale and targeted datasets involving image or video to improve the quality of diffusion or auto-regressive foundation models. You will stay at the forefront of the latest AI research to rapidly adopt impactful developments while simultaneously pioneering proprietary and experimental ideas. You will design data annotation, enrichment, curation and synthetic data generation pipelines using classic or genAI tools to improve model quality along specific dimensions aligned with Apple's unique product offerings.

Preferred Qualifications

Hands-on experience improving the quality of diffusion image generation models through training data improvements

Track record of strong industrial research output, shipped complex projects or published at top-tier venues

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 improving modern image generation or image understanding models through data ablation experiments

Knowledge of ML frameworks such as PyTorch / JAX. Experience leveraging large-scale data frameworks such as Hadoop / Ray.

Experience working in an academic or industrial research environment

Excellent communication skills, bias-for-action and ability to drive clarity in ambiguous circumstances

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 $150,400 and $277,600, 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.