Apple
Machine Learning Engineer, SIML
$142K–$278K
Cupertino, California +1 · Full-time · Posted Sep 25, 2026
- Location
- Cupertino, California
Seattle, Washington - Experience
- 2+ years working on training and fine-tuning modern image / video generation models.
- Education
- M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience.
About the job
Build and advance generative-model technology for Apple Intelligence image, video, audio, and multimodal experiences, from research and training through on-device optimization and product delivery.
What you'll do
- Train and fine-tune large-scale generative foundation models and application-specific adapters.
- Apply current AI research and develop experimental modeling approaches for Apple’s ecosystem.
- Help optimize and ship generative-model technology for Apple user experiences.
What they ask for
- M.S. or PhD in Computer Science or a related field, or equivalent experience.
- 2+ years of experience training and fine-tuning modern image/video generation models.
- Experience in an academic or industrial research environment.
- Proficiency in an ML framework such as PyTorch, TensorFlow, or JAX.
Nice to have
- Strong industrial research track record, including complex project delivery or publications in top-tier venues.
Pay
USD $150,400 to $277,600 base salary; USD $142,300 to $263,300 base salary
Tools
PyTorch, TensorFlow, JAX
AI focus
Generative AI research and engineering involving diffusion and auto-regressive models; training and adapting image, video, audio, and multimodal foundation models; application-specific adapters and on-device optimization.
Model-written summary · the original posting is authoritative