Machine Learning Systems Infrastructure Engineer - SIML, ISE
Machine Learning Systems Infrastructure Engineer - SIML, ISE
Posted on :
20-08-2025
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1 Vacancy
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Job 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.
- 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.
Employment Type
Full Time
Key Skills
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