End-to-End Environments Engineer Intern

Reinforced Learning; United States; Presencial; USD 18.000 - 28.000; Jornada completa

Descripción de la vacante

Reinforced Learning is seeking a term-long placement on the environments team. You will ship at least one environment that a customer’s agents run in, including a task, a verifier and a write-up of agent actions.

You will own an end-to-end environment with senior guidance, build verifiers, analyze rollouts, and present your findings. A CS student or self-taught candidate with Python and experience in web services or containers is preferred.

Formación

• Current study in computer science or a related field, or equivalent self-taught depth.
• Solid Python and some experience with web services or containers.
• Curiosity about agents, and you finish things.

Responsabilidades

• Ship at least one environment that a customer’s agents run in, with a task, a verifier and a write-up of what the agents did with it.
• Own a small environment end-to-end with guidance from a senior engineer.
• Develop verifiers, write and run tests against model attempts.
• Perform rollout analysis and document failure modes.
• Present what you built and what you learned.

Conocimientos

Python

Web services

Containers

Curiosity

Educación

CS student or related field

Herramientas

Docker

Descripción del empleo

Reinforced Learning is seeking a term-long placement on the environments team. You will ship at least one environment that a customer’s agents run in, including a task, a verifier and a write-up of agent actions.

You will own an end-to-end environment with senior guidance, build verifiers, analyze rollouts, and present your findings. A CS student or self-taught candidate with Python and experience in web services or containers is preferred.