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Apple

Machine Learning Engineer

Apple
Cupertino, CA $216k - $325k/yr Full time Posted 26d ago
Artificial Intelligence Autoregressive Models Deep Learning Diffusion Models Engineer Generative Ai Applications Generative Ai Engineer Machine Learning Machine Learning Engineer Programming
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Job Description

Build state-of-the-art generative AI in a team focused on core modeling technology for Apple Intelligence. This onsite role in Cupertino, CA brings together large-scale training and on-device optimization work that helps power experiences like Genmoji, Image Playground, and Image Wand. You will help advance modern diffusion and auto-regressive generative models while also developing proprietary, experimental ideas tailored to Apple’s ecosystem.

Compensation: USD 216,200 - 324,800 per year.

What you’ll do

  • Develop modern generative models using diffusion and auto-regressive technologies.
  • Continuously evaluate the latest AI research and apply high-impact advancements quickly.
  • Pioneer proprietary, experimental ideas designed specifically for Apple’s unique ecosystem, alongside ongoing research efforts.

What you bring

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

Preferred

  • Demonstrated strength in industrial research, including delivery of complex projects and/or publications in top-tier venues.

Tools you may use

  • PyTorch, TensorFlow, JAX

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Education reimbursement for certain expenses, including tuition for formal education related to advancing your career
  • Employee stock opportunities, including the ability to become an Apple shareholder through discretionary employee stock programs
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan option to purchase Apple stock at a discount if participating voluntarily
  • Discretionary bonuses or commission payments, and relocation (discretionary)

Education requirement: M.S. or PhD in Computer Science (or related field).

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