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Remote AI & Machine Learning Jobs

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Machine learning roles cover training, evaluation and deployment of models, and increasingly the applied work of building products on top of foundation models: retrieval, evaluation harnesses, prompt and agent design, and inference cost.

AI labs and the wave of companies building on their APIs, plus established firms adding ML to search, fraud and forecasting. The applied end of this market has grown far faster than the research end.

Separate research from applied engineering before you apply — the two share a title and share very little else. Check whether the team owns models in production or hands them to another group, and what the evaluation story is.

Common questions

Do these roles need a PhD?
Research positions frequently do. Applied and infrastructure roles building on existing models usually do not, and increasingly say so. The posting is explicit far more often than not — read the requirements rather than assuming.
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