The point where experts and best companies meet
Apple Machine Learning Systems Infrastructure Engineer - SIML ISE United States, Washington, Seattle 381916398
31.03.2025
Share
In this role, you will be building infrastructure to support product-focused machine learning projects. You will build systems that leverage machine learning to index terabytes of data for projects in domains like image generation, LLMs, computer vision, natural language processing, human-computer interaction and text recognition. You will define and build out systems for analysis of failure modes of algorithms built upon this data, and for reporting overall benchmarking results for model comparisons. The technology you build will play a major role in defining important datasets, ingestion of annotated/inferred data into our systems, and making the data available to machine learning scientists in a seamless manner. This role requires a diverse set of skills, from tackling low-level distributed computing challenges at bare metal, to contributing to internal client user experiences by building stable interfaces, and everything in between.
- 5+ years of experience in full-stack development.
- Experience in Java and/or Python, and C/C++.
- Solid working knowledge of machine learning fundamentals.
- Proven experience in systems engineering fundamentals and system design, and can show strong expertise in one or more systems engineering stacks.
- Domain experience in machine learning, AI, computer vision, or a related field (computer graphics, image processing, multimedia, etc.).
- Experience with macOS and/or iOS development and familiarity with UNIX-based systems.
- Ability to provide publicly-available samples of work done, or shown success in coding competitions/hackathons is desired.
- Familiarity with Objective-C.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
These jobs might be a good fit
