Senior Video ML Systems Engineer

Apple, Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Stock programs

Employee Stock Purchase Plan

Discounted products and services

Relocation assistance

Job summary

Apple Inc. in Cupertino, California, seeks a research engineer to build ML-powered video infrastructure, pipelines, and models across the full lifecycle. You will design scalable training infra, optimize performance, and deploy ML solutions that impact billions of users.

Join a cross-functional team at the intersection of ML, systems engineering, and video technology, collaborating with colleagues and leadership to deliver robust, high-quality software in production environments.

Qualifications

• BS and 10+ years of hands-on industry experience building production ML systems.
• Deep familiarity with ML-centric flows: training procedures, dataloaders, profiling and debugging, data handling, model development, deployment.
• Proficiency in Python, C++, PyTorch.
• Familiarity with computer architecture principles.
• Proficiency in AI tooling such as Claude and strong high-level design skills.

Responsibilities

• Design, build, test, and scale ML systems: training infrastructure, data ingestion and curation pipelines, performance optimization for inference, ML model development.
• Collaborate with team members and cross-functional teams to ensure quality, throughput, and robustness towards shipping the technology.
• Communicate progress and demonstrate the technology to leadership.

Skills

Python

C++

PyTorch

AI tooling: Claude

High-level design

Data handling

Education

Bachelor's degree

MS specializing in ML systems

Tools

CUDA

GPU kernel optimization

Job description

Apple Inc. in Cupertino, California, seeks a research engineer to build ML-powered video infrastructure, pipelines, and models across the full lifecycle. You will design scalable training infra, optimize performance, and deploy ML solutions that impact billions of users.

Join a cross-functional team at the intersection of ML, systems engineering, and video technology, collaborating with colleagues and leadership to deliver robust, high-quality software in production environments.