Reinforcement Learning Data & Environments Engineer

Mirendil; San Francisco (CA); On-site; USD 350,000 - 500,000; Full time

Job summary

Mirendil, based in San Francisco, is seeking a research engineer to develop and optimize data systems supporting reinforcement learning. The role involves constructing data pipelines, ensuring model training efficiency, and collaborating with cross-functional teams.

Ideal candidates will have a strong background in AI, especially in reinforcement learning, with experience building scalable systems. This position comes with a competitive base salary between $350,000–$500,000 and equity, plus various benefits.

Qualifications

• Experience with building data pipelines and executing tasks in a tech environment.
• Strong foundation in reinforcement learning concepts and practices.
• Ability to work with scalable systems and environments.

Responsibilities

• Build and automate data collection pipelines for RL tasks.
• Design and implement scalable sandboxed execution environments.
• Collaborate with teams to enhance production model behavior.

Skills

Data systems engineering

Reinforcement learning

Automation

Model behavior analysis

Education

Bachelor's or Master's in Computer Science or related field

Tools

Python

TensorFlow

Kubernetes

Job description

Mirendil, based in San Francisco, is seeking a research engineer to develop and optimize data systems supporting reinforcement learning. The role involves constructing data pipelines, ensuring model training efficiency, and collaborating with cross-functional teams.

Ideal candidates will have a strong background in AI, especially in reinforcement learning, with experience building scalable systems. This position comes with a competitive base salary between $350,000–$500,000 and equity, plus various benefits.