Machine Learning Systems Infrastructure Engineer
6 days ago
Description
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.
As the ideal candidate, you enjoy variety, and are passionate about working on new things on a frequent basis. You love working with a large number of people across teams throughout the company, and driving solutions that take multiple partners into account. You are either a machine learning industry pro, or an outstanding engineer wanting to expand your horizons and learn more about the nitty gritty of how ML projects are launched from inception to release.
Minimum Qualifications
Bachelors or Master's degree, or equivalent experience
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.
Preferred Qualifications
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.
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