Research Engineer: End-to-End RL & Frontier AI Data

Proximal; Hinoba-an; Presencial; PHP 1 000 000 - 1 400 000; Tempo integral

Resumo da oferta

Proximal is building the research systems needed to identify what models can't yet do, build the tasks required to teach them, measure whether those capabilities improve, and continuously produce the data that frontier models need.

As a research engineer, you will work on open-ended research problems across RL, agents, and data, and share your work with the public through open-source releases, papers and talks.

Qualificações

• Strong technical and engineering abilities; engineering judgment matters far more than formal research experience.
• Creative problem solver with strong experimental instincts; you thrive on ambiguous, open-ended problems.
• Strong research judgment; you can identify promising directions, design rigorous experiments, and draw useful conclusions from messy results.
• Self-directed and relentless; you take ownership of problems end-to-end without heavy process or oversight.
• Execution with excellence, even at high speed. We don't think that shipping fast has to come at the cost of quality and reliability.

Responsabilidades

• Design and run experiments to find the gap between frontier models' capabilities and limits across coding tasks.
• Develop methods for automatically generating increasingly difficult tasks as model capabilities improve.
• Design experiments to measure the quality of agent-generated code beyond functional correctness.
• Modify our RL training stack to support end-to-end training with agent harnesses that implement subagents.
• Train specialized models to evaluate and adversarially stress-test data for reward hacking, fairness, and other quality failures.

Conhecimentos

Strong engineering judgment

Creative problem solving

Experimental instincts

Self-directed

Open-ended problems

Descrição da oferta de emprego

Proximal is building the research systems needed to identify what models can't yet do, build the tasks required to teach them, measure whether those capabilities improve, and continuously produce the data that frontier models need.

As a research engineer, you will work on open-ended research problems across RL, agents, and data, and share your work with the public through open-source releases, papers and talks.