Apple
Machine Learning Engineer, Data for Foundation Models
$142K–$278K
Cupertino, California +1 · Full-time · Posted Oct 14, 2026
- Location
- Cupertino, California
Seattle, Washington - Experience
- 3+ years; no alternative stated.
- 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 improve large-scale image and video datasets, annotation and synthetic-data pipelines, and data-driven methods for Apple foundation models used in generative image experiences.
What you'll do
- Design data annotation, enrichment, curation, and synthetic-data generation pipelines.
- Improve image generation or understanding models through data ablation experiments and dataset improvements.
- Adopt and develop research approaches that improve model quality for Apple products.
What they ask for
- M.S. or PhD in Computer Science or a related field, or equivalent experience.
- 3+ years improving modern image generation or image understanding models through data ablation experiments.
- Knowledge of ML frameworks such as PyTorch / JAX and experience with large-scale data frameworks such as Hadoop / Ray.
- Experience in an academic or industrial research environment; excellent communication skills and ability to act decisively amid ambiguity.
Nice to have
- Hands-on experience improving diffusion image generation through training data improvements.
- Strong industrial research output, shipped complex projects, or publications at top-tier venues.
Pay
$150,400 and $277,600 (base salary); $142,300 and $263,300 (base salary)
Tools
PyTorch, JAX, Hadoop, Ray
AI focus
Use data research, curation, annotation, and synthetic-data pipelines to improve diffusion or auto-regressive foundation models for image generation and understanding.
Model-written summary · the original posting is authoritative