ML Research 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.

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.

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