We're looking for a Senior MLOps Engineer to join our distributed engineering team on our Connected TV ad-buying platform. As a Senior MLOps Engineer, you will be responsible for scaling the decision-making process for tools for the tvScientific AI team, improving the developer experience for the data science team, upgrading our observability tooling, serving as a technical lead and mentor to the team, and making every deployment smooth as our infrastructure evolves.
\nKey responsibilities include:
\nRequirements include:
\nNice-to-haves include:
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\nBasic Qualifications: Published analytical work and academic training in a high-rigor field. Strong Forecasting track record (e.g., Metaculus, Good Judgment), rigorous analysis, or public updating on errors. Deep knowledge in at least three of: philosophy of science, cognitive psychology, statistics, logic, linguistics, history, economics, or related disciplines. Ability to steel-man opposing views and separate settled knowledge from speculation. Habitual reliance on primary sources and base rates.
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\nThe ideal candidate will have a strong background in computer science, robotics, machine learning, or a related field, and experience integrating agents into classical systems. They will also have a proven track record of novel application and experience including first-author publications, participation in peer-reviewed conferences, contribution to open-source projects, and demonstrated contribution to the ML and AI community.
\nIn addition to your technical expertise, you will be a strong communicator and collaborator, able to work effectively with cross-functional teams to drive results. You will also be comfortable working in a fast-paced environment and adapting to changing priorities.
\nIf you are a motivated and experienced engineer looking to join a dynamic team and contribute to cutting-edge technology, we encourage you to apply.
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