Senior ML Infrastructure Engineer - Build Scalable ML Ops

Apple Inc.; Seattle (WA); On-site; USD 175,000 - 263,300; Full time

Job summary

Apple Inc. in Seattle, WA, invites a Sr. ML Infrastructure Engineer to join the Siri Runtime Systems and Interaction team. You will help build the data and infrastructure ecosystem to support ML development across devices and services.

Collaborate with ML Modeling, Infrastructure, Software, Hardware and Operations to design, deploy and maintain scalable data products and services, owning end-to-end lifecycle from conception to operation.

Qualifications

• 4+ years of industry experience in computer science or software systems.
• Strong CS fundamentals: algorithms, data structures, system design.
• Proficient with Python, Docker, cloud infrastructure, Spark.
• Experience building and debugging software service stacks.
• Ability to work independently and cross-functionally.

Responsibilities

• Help build the data and infrastructure ecosystem for ML development.
• Collaborate across ML Modeling, Infrastructure, Software, Hardware and Ops teams.
• Own end-to-end lifecycle from conception to deployment and maintenance.
• Develop and debug scalable software service stacks.

Skills

CS fundamentals

Algorithms

Data structures

System design

Python

Docker

Cloud infrastructure

Spark

Software services

Interpersonal skills

Education

Bachelor's degree in CS/Engineering or related

Tools

Spark

Job description

Apple Inc. in Seattle, WA, invites a Sr. ML Infrastructure Engineer to join the Siri Runtime Systems and Interaction team. You will help build the data and infrastructure ecosystem to support ML development across devices and services.

Collaborate with ML Modeling, Infrastructure, Software, Hardware and Operations to design, deploy and maintain scalable data products and services, owning end-to-end lifecycle from conception to operation.