Research Engineer, Large Visual Generative Model Optimization

Global technology company leading in consumer electronics, software, and services
$143,100 - $264,200
Machine Learning
Senior Software Engineer
In-Person
5+ years of experience
AI

Description For Research Engineer, Large Visual Generative Model Optimization

Apple's System Intelligence and Machine Learning (SIML) organization is seeking visual generative modeling research engineers to advance Apple Intelligence capabilities. This role is part of the core team that developed groundbreaking technologies like Image Playground, Genmoji, and Image Wand. The position focuses on optimizing large visual generative models for image/video generation, editing, and personalized avatar creation. You'll work on model compression, distillation, and efficient architecture implementation while considering practical constraints like memory and latency. The role combines cutting-edge research with practical implementation, requiring expertise in deep learning, computer vision, and model optimization. You'll collaborate with cross-functional teams, contribute to innovative solutions, and have the opportunity to impact billions of users through Apple's platforms. The position offers competitive compensation, comprehensive benefits, and the chance to work on transformative AI technologies at one of the world's leading tech companies. Ideal candidates will bring both technical expertise and leadership qualities to help shape the future of Apple's machine learning capabilities.

Last updated 15 hours ago

Responsibilities For Research Engineer, Large Visual Generative Model Optimization

  • Designing, implementing, and deploying innovative conditional visual generative models
  • Implementing novel model compression, distillation algorithms, and efficient model architectures
  • Perform research in emerging areas of efficient neural network development
  • Staying abreast with latest trends in machine learning and visual generative models
  • Effectively communicating results and insights in a cross-functional team

Requirements For Research Engineer, Large Visual Generative Model Optimization

Python
TypeScript
  • Masters, or Ph.D. in Computer Science, or Computer Engineering or similar fields
  • Strong programming skills in Python and C++
  • Proficiency in PyTorch or other deep learning frameworks
  • Hands on experience training or leveraging large scale visual generative models
  • Strong background in research and innovation
  • Excellent written and verbal communications skills
  • Familiar with model compression algorithms

Benefits For Research Engineer, Large Visual Generative Model Optimization

Medical Insurance
Dental Insurance
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Educational expense reimbursement
  • Discretionary bonuses
  • Relocation benefits
  • Employee Stock Purchase Plan
  • Product discounts

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