Job description

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. BS and 10+ years of hands-on industry experience building production ML systems, with a proven track record of design/implementation leadership Deep familiarity with in of 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 and excellent high-level design skills — allowing building robust, modular, clean, and well-tested code 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

Requirements

Must-haves

BS and 10+ years of hands-on industry experience building production ML systems, with a proven track record of design/implementation leadership
Deep familiarity with in of 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 and excellent high-level design skills — allowing building robust, modular, clean, and well-tested code
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

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

mlpythonai

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision