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United States Digital Space LLC is seeking an ML Engineer to contribute to code completion, AI agents development, and test generation. You will design ML solutions to streamline software development, apply open-source models or train custom ones, and build reproducible training pipelines.
You should have a background in NLP or code modeling, a track record delivering ML projects, and hands-on experience with Python, Java, or Kotlin, plus modern ML frameworks.
At the company, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
The the company Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.
Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.
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