Remote RL Research Engineer - Build Scalable AI Pipelines

Crossing Hurdles; United States; A distancia; USD 400.000 - 800.000; Jornada completa

Descripción de la vacante

Crossing Hurdles is seeking a remote Senior Member of Technical Staff to lead research engineering in reinforcement learning. The role focuses on building self-contained RL environments, scalable pipelines, and robust evaluation systems to accelerate AI experimentation.

Ideal candidates will have deep RL expertise, a track record of scaling experimentation infrastructure, and strong communication skills to document progress and findings for a distributed team.

Formación

• Deep experience in Reinforcement Learning, including environment design and training dynamics.
• Proven ability to build and scale RL systems, pipelines, or experimentation frameworks.
• Expertise in automation and data generation, including synthetic data pipelines.
• Familiar with automated evaluation systems, model validation, and quality assurance workflows.
• Strong technical writing and communication skills.

Responsabilidades

• Architect self-contained RL environments that capture complex, real-world tasks, including reward functions, verifiers, and evaluation logic.
• Design and scale episode pipelines and multi-component training processes to support reproducible experimentation.
• Build automated data generation systems, leveraging synthetic data to accelerate training cycles without compromising quality.
• Develop and integrate AI-driven evaluation and quality assurance systems for automated grading, validation, and feedback loops.
• Fine-tune and optimize open-source RL models using internally generated datasets and custom training strategies.
• Establish benchmarking frameworks to measure model capability, robustness, and data quality across tasks.

Conocimientos

Reinforcement Learning

Environment design

Experimentation frameworks

Automation & data generation

Open-source ML models

Herramientas

RL frameworks

Automation tooling

Descripción del empleo

Crossing Hurdles is seeking a remote Senior Member of Technical Staff to lead research engineering in reinforcement learning. The role focuses on building self-contained RL environments, scalable pipelines, and robust evaluation systems to accelerate AI experimentation.

Ideal candidates will have deep RL expertise, a track record of scaling experimentation infrastructure, and strong communication skills to document progress and findings for a distributed team.