Senior Data Scientist /AI Engineer (RL)

Design and implement RL environments that support large-scale agent evaluation and reinforcement learning experiments.
Build task generation pipelines, dynamic datasets, and scripted environments with controlled complexity and stochasticity.
Develop verifiers and reward models to automatically score trajectories and evaluate model reasoning.
Collaborate with infrastructure and systems engineers to ensure environments are scalable, reproducible, and instrumented for detailed telemetry.
Design APIs and orchestration frameworks for running, resetting, and evaluating agents across environments.
Optimize environment performance, logging, and reward reproducibility across distributed setups.

5+ years of experience in Python software engineering.
Minimum 3 years in a Data Scientist, Machine Learning/Environment Engineering position.
Being able to work 2 p.m. - 10 p.m.
Practical knowledge of AI frameworks (Langchain, Langraph, mcp-server ).
Extensive practical experience in working with AI, including prompt engineering and vibe coding.

Knowledge of Codex or Claude Code.
Experience in integrating AI with a system would be an advantage.
Understanding of RL concepts - reward modeling, environment dynamics, verifiability, evaluation, and agent interaction loops.
Familiarity with instrumentation, metrics, and data pipelines for RL evaluation.
Expertise in planning your own work.

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