Apple
AIML - Applied AI Scientist, Image Autograder Systems, Evaluation
$150K–$278K
Cupertino, California · Full-time · Posted Aug 6, 2026
- Experience
- Preferred: 1+ years of industry experience building VLM-based products.
- Education
- Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
About the job
Develop and deploy autograders that assess the quality of image-generation outputs, improving their accuracy and adoption across Apple AI features.
What you'll do
- Refine evaluation requirements, grading rubrics, and gold annotation sets with partner teams; develop and iterate on grading prompts and apply fine-tuning when needed.
- Analyze autograder quality and collaborate with MLEs and feature teams on deployment and adoption.
- Build scalable systems to accelerate autograder training processes.
What they ask for
- Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Deep understanding of visual-language models and familiarity with image quality assessment, evaluation metrics, and rubric design.
- Proficiency in Python, including writing well-structured, production-ready model code.
- Strong communication skills for explaining autograder quality and driving adoption with partner teams.
Nice to have
- 1+ years of industry experience building VLM-based products.
- Expertise in VLM prompt tuning and fine-tuning; experience with autograder evaluation, AI literature, or agentic systems to scale training and validation.
Pay
USD 150,400 to USD 277,600 base salary
Tools
Python, visual-language models (VLMs)
AI focus
Research, train, evaluate, and deploy autograders for image-generation AI features, using prompt development and fine-tuning to assess output quality.
Model-written summary · the original posting is authoritative