Apple
AIML - Machine Learning Engineer, Visual Intelligence Technology
$205K–$325K
Santa Clara, California +1 · Full-time · Posted Sep 25, 2025
- Location
- Santa Clara, California
Seattle, Washington - Experience
- 7+ years in a listed ML-related field and 5+ years in specified LLM work; tech-lead experience required.
- Education
- MS or PhD in a listed field or related field.
About the job
Develops and ships machine-learning systems for visual search, query understanding, and ranking, while adapting domain-specific LLM research for Apple products.
What you'll do
- Build large-scale ML and deep-learning models for search query understanding and ranking using user signals and multiple information sources.
- Develop, fine-tune, and evaluate domain-specific LLMs and conduct applied generative-AI research for production systems.
- Lead a team in shipping software to users and contribute to ML platforms, architectures, or algorithms.
What they ask for
- MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science, or a related field.
- 7+ years of experience in machine learning, deep learning, information retrieval, natural language processing, or data mining.
- 5+ years of experience in prompt engineering, LLM fine-tuning and evaluation, and developing data collection, annotation, or management tooling for LLMs.
- Experience as a tech lead successfully leading a team to ship software to users; practical skills in designing ML platforms, architectures, or algorithms.
Nice to have
- iOS / MacOS development or performance optimization on resource-constrained devices.
- Deep-learning packages or graphics development, including Keras, Tensorflow, PyTorch, OpenGL, Metal, Vulcan, OpenCL, or neural engine integration / optimization.
Pay
$205,400 and $308,500 (base salary); $216,200 and $324,800 (base salary)
Tools
Visual Search, LLM, Large Language Models, Keras, Tensorflow, PyTorch, OpenGL, Metal
AI focus
Develops and evaluates domain-specific LLMs, applies generative AI research in production, and builds ML systems for visual search and query understanding.
Model-written summary · the original posting is authoritative