Machine Learning Engineer, Siml

Apple Apple · Big Tech · Cupertino, CA +3 · Machine Learning and AI

Machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. Focus on training and adapting large scale image/video/audio/multimodal foundation models, staying at the forefront of AI research, and pioneering proprietary ideas for Apple's ecosystem. Experience with training and fine-tuning modern image/video generation models is required.

What you'd actually do

  1. stay at the forefront of the latest AI research to rapidly apply impactful developments
  2. pioneering proprietary, experimental ideas designed specifically for Apple’s unique ecosystem
  3. training and adapting large scale image/video/audio/multimodal foundation models
  4. building modern generative models based on diffusion and auto-regressive technologies
  5. stay at the forefront of the latest AI research to rapidly apply impactful developments

Skills

Required

  • M.S. or PhD in Computer Science or a related field
  • 2+ years of experience working on training and fine-tuning modern image / video generation models
  • Experience working in an academic or industrial research environment
  • Proficient in an ML framework such as PyTorch, TensorFlow, JAX
  • Excellent communication skills

Nice to have

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

What the JD emphasized

  • training and fine-tuning modern image / video generation models
  • experience working in an academic or industrial research environment

Other signals

  • generative models
  • foundation models
  • diffusion models
  • auto-regressive technologies
  • image/video/audio/multimodal