Software (ML Product) Engineer (Staff/ Senior, Open Source, Python)

At iterative.ai, we build open-source tools for machine learning DVC (12k+ ⭐  on GitHub), and enterprise-grade data infrastructure solutions. We also offer a team collaboration SaaS solution - Studio. We're a well-funded (Series A), remote-first team (50+ employees) on a mission to solve the complexities of managing datasets, ML infrastructure, ML models lifecycle, and other ML & data-centric workflows.

We value great collaboration and communication skills, both among internal teams and in how we interact with our users. We take care to balance and be responsive to the needs of our open source community as well as our enterprise customers.

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DVC as a tool has two parts - core that is managing data, pipelines, etc (tasks might include optimizing data indexing or transfer or some internal index). And the workflow part. The one which data scientists and ML engineers experience first. It defines how people use the product, how it feels, how simple it is to use, etc.

As an engineer in this role, you would be working closely with our technical product managers, you will be helping defining the workflow since we expect that you have taste and experience using MLOps tools and / or organizing ML infra for your team. To give an example: you will be responsible for driving and taking to the next level our current entry point to the ecosystem https://github.com/iterative/dvclive among other things and projects.