Machine Learning Engineer

Job description

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. Minimum Qualifications: 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 Preferred Qualifications: 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