Staff Software Engineer (DevTools, Python) at Iterative | Remote
Iterative AI, Inc.Worldwide
Remote Full-time
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Experience Level
Mid to Senior
Qualifications
Proven experience in software engineering with strong proficiency in Python. Experience in building developer tools and maintaining open-source software. Excellent coding culture awareness, including CQ standards, automation, and testing practices. Strong collaboration and communication skills.
About Us
At Iterative AI, we develop innovative open-source tools for machine learning, notably DVC (over 12,000 ⭐ on GitHub), alongside enterprise-grade data infrastructure solutions. Our team also provides a collaborative SaaS platform known as Studio. With robust funding from our Series A round, we are a fully remote team of over 50 dedicated professionals committed to addressing the intricate challenges associated with managing datasets, ML infrastructure, and the entire lifecycle of ML models and workflows.
We prioritize effective collaboration and communication, ensuring responsive engagement with both our open-source community and enterprise clients.
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Job Description
As a pivotal member of our team, you will lead development initiatives surrounding our flagship DVC product and its ecosystem. This role includes taking ownership of cross-product features and collaborating closely with adjacent projects and products. We are looking for a candidate with exemplary software engineering skills and a strong understanding of best coding practices, including automation, testing, and contributions to free and open-source software (FOSS). Proficiency in Python and experience in developing developer tools and maintaining open-source software are essential.
About Iterative AI, Inc.
Iterative AI, Inc. is a pioneering company focused on creating open-source tools for the machine learning community and delivering robust data infrastructure solutions. Our goal is to simplify the complexities of data management and machine learning workflows, making it easier for teams to collaborate effectively.
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