Apple
Senior Machine Learning Engineer- Worldwide Product Marketing
$185K–$278K
Cupertino, California · Senior · Full-time · Posted Jul 27, 2026
- Experience
- 8 years required; preferred qualification asks for 10 years of related experience.
- Education
- Bachelor's Degree in Software Engineering, Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.
About the job
Build and operate scalable MLOps infrastructure and production pipelines that support the full machine-learning lifecycle.
What you'll do
- Design and maintain automated pipelines for model training, evaluation, versioning, and deployment.
- Improve model observability, governance, reliability, and performance across production workflows.
- Use LLM-based tools to assist with development, documentation, code reviews, testing, and debugging.
What they ask for
- 8 years in software engineering, including large-scale software system design and implementation.
- Bachelor's degree in a listed or related field.
- Track record shipping and maintaining production-grade ML systems end-to-end.
- Experience with distributed systems, cloud platforms, Kubernetes, MLOps tooling, Python, CI/CD, and data orchestration.
Nice to have
- 10 years of related experience building scalable production applications or ML models.
- Familiarity with production model monitoring and drift detection.
Pay
$184,700 and $277,600 (base salary range)
Tools
AWS, Azure, GCP, Kubernetes, Ray, MLflow, Kubeflow, Python
AI focus
Operate production ML systems and use LLM-based tools to accelerate engineering work, including code generation, documentation, debugging, code reviews, and test generation; evaluate generated outputs for accuracy and reliability.
Model-written summary · the original posting is authoritative