Apple
Senior Machine Learning Engineer - Worldwide Product Marketing
$216K–$325K
Cupertino, California · Senior · Full-time · Posted Jul 27, 2026
- Experience
- 8 years required; 10 years preferred.
- Education
- Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.
About the job
Design, build, and deploy scalable machine learning and LLM-powered systems, including agent workflows, to address business needs in production.
What you'll do
- Build, deploy, monitor, and support production AI/ML systems and agentic pipelines.
- Evaluate and benchmark models and LLM outputs, iterating to improve quality, efficiency, reliability, and safety.
- Partner with data scientists and engineers to translate business requirements into ML solutions and improve ML infrastructure and practices.
What they ask for
- 8 years of related experience building high-throughput, scalable applications or machine learning models in production.
- Bachelor's Degree in a listed or related field.
- Proficiency in one or more object-oriented programming languages and hands-on distributed-systems experience.
- Experience with large-scale ML systems and big data technologies, ML frameworks, MLOps practices, LLM deployment, and agentic frameworks.
Nice to have
- 10 years of related experience building high-throughput, scalable applications or machine learning models in production.
- Familiarity with ML fundamentals, cross-functional communication, and LLM evaluation practices.
Pay
$216,200 and $324,800 (base salary)
Tools
Python, Java, C++, Spark, SQL, Snowflake, TensorFlow, PyTorch
AI focus
Production machine learning, LLM-powered features, and agentic workflows using tool use, memory, and multi-step reasoning; includes model and LLM evaluation, benchmarking, and safety assessment.
Model-written summary · the original posting is authoritative