Research Engineer, Code RL (Reinforcement Learning)

Prof Rod; New York (NY); On-site; USD 500,000 - 850,000; Full time

Job summary

Prof Rod seeks a skilled practitioner to build coding tasks, RL environments, and verifiers, followed by training experiments to explore model improvements.

The ideal candidate has strong Python and concurrent programming skills, a rigorous approach to experimental design, and comfort with distributed training and evaluation harnesses. Office attendance is expected.

Qualifications

• Bachelor’s degree or equivalent; office attendance expected.
• Strong Python and concurrent programming skills.
• Experience in RL, evaluation harnesses and distributed training is a plus.

Responsibilities

• Build coding tasks, RL environments and verifiers, then run training experiments.
• Investigate model improvement and analyze results to guide iterations.

Skills

Python

Concurrent programming

Software engineering

Experimental design

Result interpretation

Reinforcement learning

Evaluation harnesses

Distributed training

Education

Bachelor's degree or equivalent

Job description

Build coding tasks, RL environments and verifiers, then run training experiments and investigate model improvement.

Vacancy announcement

Who this suits: Individual qualified applicant

USD 500,000–850,000/year (salary; 2026-10-05). Published annual salary range; employer determines level.

What the institution asks for

• Strong Python, concurrent programming and software engineering; rigorous experimental design and interpretation.
• RL, evaluation harnesses and distributed training are additional strengths. Bachelor’s degree or equivalent; office attendance expected.

ProfRod’s suggested preparation

Understand what this work involves

Practice the experimental design and interpretation used to evaluate coding and RL experiments.

Predict the difference before recomputing the saved results. Name the sampling unit, interval and one limit; keep the notebook output with your memo.

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