companyIterative AI, Inc. logo

Staff / Senior Software Engineer - Back-end SaaS (Python)

Remote Full-time

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Experience Level

Mid to Senior

Qualifications

Strong proficiency in Python programming. Experience in back-end development, with a focus on SaaS solutions. Understanding of full-stack development is a plus. Commitment to high coding standards, including unit testing and documentation. Passion for development tools, machine learning, and MLOps. Excellent collaboration and communication skills.

About the job

Join Our Team!
At Iterative AI, we are at the forefront of developing open-source tools that empower machine learning practitioners. Our flagship products include DVC, which boasts over 12,000 stars on GitHub, and our innovative team collaboration SaaS tool, Studio. With a well-funded Series A backing and a fully remote team of over 50 talented individuals, we are committed to tackling the intricate challenges of managing datasets, ML infrastructure, and the lifecycle of ML models.
We prioritize exceptional collaboration and communication skills, ensuring that we are responsive to both our open-source community and enterprise clients.
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Position Overview
We are looking for a passionate Python Back-end Engineer to contribute to our SaaS product, Studio. This managed ML workspace allows teams to collaborate on experiments, share models, and streamline their workflows.
The ideal candidate will possess strong Python skills, a good grasp of code design principles, some full-stack capabilities, and a commitment to maintaining high coding standards, including unit testing. If you have a genuine enthusiasm for development tools, machine learning, and MLOps, and are eager to take a hands-on approach to leadership through action, we want to meet you!

About Iterative AI, Inc.

Iterative AI, Inc. is dedicated to creating innovative open-source tools for machine learning and enterprise-grade data infrastructure solutions. Our team is remote-first, allowing for a diverse and flexible work environment while focusing on solving complex data management challenges.

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