Apple
Machine Learning Engineer, Foundation Model Services
$175K–$325K
Santa Clara, California +1 · Full-time · Posted Jun 15, 2026
- Location
- Santa Clara, California
Seattle, Washington - Experience
- 5 year+ industry experience.
- Education
- Bachelor’s degree or higher in Computer Science or related technical field.
About the job
Build and optimize production-scale inference services, tools, and infrastructure for Apple foundation models serving products and customers in real time.
What you'll do
- Partner with product teams to build production-grade solutions for serving models to millions of customers in real time.
- Prototype and develop inference for new model architectures with the Foundation Model Research team.
- Build tools to identify inference bottlenecks across hardware and use cases.
What they ask for
- 5 year+ industry experience in ML technologies such as LLMs, Machine Learning, NLP, Information Retrieval, or Statistics.
- Experience with high-throughput services, particularly at supercomputing scale.
- Proficiency running cloud applications using Kubernetes, Docker, or equivalent technologies.
- Proficiency building and maintaining systems in modern languages such as Golang or python.
Nice to have
- Familiarity with Pytorch or Tensorflow.
- Familiarity with Transformers, Encoder/Decoder models, Nvidia TensorRT-LLM, vLLLM, DeepSpeed, or Nvidia Triton Server.
Pay
$175,000 and $308,500 USD base salary; $184,700 and $324,800 USD base salary
Tools
AWS, Azure, Kubernetes, Docker, Golang, python, Pytorch, Tensorflow
AI focus
Develop and optimize inference for large language, vision, and speech foundation models, including cutting-edge architectures and model serving at scale.
Model-written summary · the original posting is authoritative