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ActivTrak
United States · remote · Salary not listed
We're growing our data engineering team to design and operate the production systems that make our machine learning and analytics work scalable, observable, reliable, and economical. This is a platform-ownership role: you're building the infrastructure a petabyte-scale data platform runs on, not executing tickets handed down from another team.
Where this role starts and ends: Data Science owns problem formulation, features, model and scoring logic, evaluation, and model performance. You own the pipeline infrastructure, orchestration, deployment mechanisms, observability, scalability, and operational reliability that put their work into production. The primary ownership is clear, but you'll work together across that boundary when production issues span model and platform.
This is an individual contributor role with substantial ownership of the platform. It does not include people-management responsibilities.
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Apply on source siteListed via Himalayas
This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company. If you have a proven track record of creative thinking, a drive for learning, and a deep commitment to collaboration, we want to talk to you!
ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, or age.
Originally posted on Himalayas