supervised learning Jobs

OpenAI

We are seeking a Machine Learning Engineer to develop and productionize new classification and evaluation capabilities. This role involves translating open-ended questions about model behavior into well-defined ML problems, building effective methods, and rigorously assessing their reliability. You will own classifiers throughout their lifecycle, from supervised fine-tuning and distillation to evaluation, deployment, and production inference. Collaborating closely with researchers to identify valuable problems and with software engineers to scale promising approaches will be key to success.

$381k - $510k

Thinking Machines is building AI that extends human will and judgment, with a focus on training frontier models and developing tools like Tinker, a fine-tuning API that allows researchers and developers to customize AI models. This role is for an engineer focused on developer experience, who will work hands-on with users of Tinker, turning their challenges into product improvements. You will write and update documentation, add library features, prototype integrations, and ensure users can customize models smoothly. This position acts as a bridge between Tinker users and internal teams, surfacing user patterns to guide product and infrastructure priorities, and sharing learnings through various channels. It's a technical-first role with a significant user-facing component, ideal for someone who enjoys coding and engaging with creative individuals.

$300k - $350k