Machine Learning Engineer

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.

Design build test and scale ML systems: training infrastructure data ingestion and curation pipelines power and performance optimization for inference ML model developmentnCollaborate closely with team members and cross-functional teams to achieve quality throughput computational requirements and robustness towards shipping the technologynCommunicate: demonstrate the technology present to leadership share progress with colleagues and so on

BS and 10 years of hands-on industry experience building production ML systems with a proven track record of design/implementation leadership nDeep familiarity with in of ML-centric flows and best practices: training procedures dataloaders profiling and debugging methodology data handling model development model deploymentnProficiency in Python C PyTorchnFamiliarity with computer architecture principlesnProficiency 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 areanExperience implementing custom ops in CUDA or low-level GPU kernel optimizationnResearch experience in ML model designnExperience with visual data (e.g. images/videos/3DGS) and related vision algorithmsnExperience with distributed training large-scale data pipelines inference servingnExcellent written and oral communication skills