Senior ML Infrastructure & Deployment Engineer

Apple Inc.; Cupertino (CA); On-site; USD 184,700 - 324,800; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Educational reimbursement

Job summary

Apple Inc. is looking for an experienced Machine Learning Engineer in Cupertino, California, to develop and scale systems that power intelligent features for millions of users. In this role, you will handle model serving, deployment pipelines, and ML infrastructure, collaborating closely with multidisciplinary teams.

The ideal candidate should have experience in building production ML infrastructure, a strong command of Java and Python, and proficiency in cloud platforms like AWS or GCP. Apple offers a wide range of benefits and a supportive work environment.

Qualifications

• MS in Computer Science or related discipline, or equivalent work experience.
• 5+ years of experience in machine learning infrastructure or software engineering.
• Strong proficiency in Java and Python for production systems.

Responsibilities

• Design, build, and operate ML infrastructure for hosting models.
• Evaluate tools and frameworks for model serving and feature delivery.
• Collaborate with teams to optimize ML workloads and infrastructure.

Skills

Java

Python

Machine Learning Infrastructure

Model Serving

Deployment Pipelines

Education

MS in Computer Science, Machine Learning

Tools

Kubernetes

AWS

GCP

Apache Spark

Job description

Apple Inc. is looking for an experienced Machine Learning Engineer in Cupertino, California, to develop and scale systems that power intelligent features for millions of users. In this role, you will handle model serving, deployment pipelines, and ML infrastructure, collaborating closely with multidisciplinary teams.

The ideal candidate should have experience in building production ML infrastructure, a strong command of Java and Python, and proficiency in cloud platforms like AWS or GCP. Apple offers a wide range of benefits and a supportive work environment.