ML Research Engineer

Apple • Cupertino, CA

2d

About The Position

Video is at the core of nearly all Apple products, and as a research engineer on our team, you will build the infrastructure, pipelines, systems, and models that power the next generation of video technology. We are looking for a highly ambitious individual, who will flourish working on technically meaningful problems across the full ML lifecycle — including training infrastructure, performance optimization, data, and production deployment. Your work will redefine the video experience for billions of users. In this role you will work together with colleagues to design, scale, and harden the systems that bring ML-based video approaches into current and future Apple products. This position requires a highly self-directed individual, who is comfortable working at the intersection of ML, systems engineering, and performance optimization. Strong engineering and analytical skills will be critical towards solving challenging problems across efficiency optimization, training, data, and deployment.

Requirements

• BS and 10+ years of hands-on industry experience building production ML systems.
• Proven track record of design/implementation leadership.
• Deep familiarity with ML-centric flows and best practices: training procedures, dataloaders, profiling and debugging methodology, data handling, model development, model deployment.
• Proficiency in Python, C++, PyTorch.
• Familiarity with computer architecture principles.
• Proficiency in AI tooling such as Claude.
• Excellent high-level design skills — allowing building robust, modular, clean, and well-tested code.

Nice To Haves

• MS specializing in ML systems, performance engineering, or a related area.
• Experience implementing custom ops in CUDA or low-level GPU kernel optimization.
• Research experience in ML model design.
• Experience with visual data (e.g. images/videos/3DGS) and related vision algorithms.
• Experience with distributed training, large-scale data pipelines, inference serving.
• Excellent written and oral communication skills.

Responsibilities

• Design, scale, and harden systems that bring ML-based video approaches into current and future Apple products.
• Build the infrastructure, pipelines, systems, and models that power the next generation of video technology.
• Work on technically meaningful problems across the full ML lifecycle, including training infrastructure, performance optimization, data, and production deployment.
• Solve challenging problems across efficiency optimization, training, data, and deployment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior