Diffusion Models Developer Jobs

1 job found

1d ago

Machine Learning Engineer

Apple Cupertino, CA

Cupertino, CA

1d ago

$216k - $325k/yr Full time Artificial Intelligence Autoregressive Models Deep Learning

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Job Description

Design and build next-generation generative AI models that support Apple Intelligence and power experiences like Genmoji, Image Playground, and Image Wand.

Responsibilities

Develop modern generative model technology using diffusion and auto-regressive approaches
Apply the latest AI research quickly and effectively to deliver impactful improvements
Pioneer proprietary, experimental ideas tailored to Apple’s ecosystem
Advance state-of-the-art modeling through work spanning large-scale training and on-device optimizations

Requirements

M.S. or PhD in Computer Science (or related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics) or equivalent experience
2+ years experience training and fine-tuning modern image/video generation models
Experience in an academic or industrial research environment
Proficiency with an ML framework such as PyTorch, TensorFlow, or JAX
Strong communication skills, including the ability to drive clarity in ambiguous situations

Technologies

PyTorch
TensorFlow
JAX

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition for formal education related to advancing your career
Opportunity to become an Apple shareholder via Apple’s discretionary employee stock programs
Discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount through optional participation in the Employee Stock Purchase Plan
Discretionary bonuses or commission payments and relocation (discretionary)

Preferred Qualifications

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

Location: Cupertino, CA (onsite)

Salary: USD 216,200 - 324,800 per year

Minimum experience: 2 years

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