Full Stack Reinforcement Learning (RL) Engineer Specialist - Freelance Project

This freelance project opportunity involves designing and implementing full-stack reinforcement learning systems, integrating RL models into backend services and frontend interfaces, and supporting production-grade applications. The role focuses on bridging research and deployment while working with stakeholders to deliver RL-driven solutions.

This freelance project seeks a Full Stack Reinforcement Learning (RL) Engineer Specialist to design, implement, and deploy RL systems that bridge research and practical application. The role encompasses backend development, frontend integration, and working with large datasets to inform RL models and experiments.

Responsibilities:
- Design, train, and evaluate reinforcement learning models tailored to dynamic environments and optimization challenges.
- Collaborate with engineers and data scientists to integrate RL models into production systems and user interfaces.
- Contribute to backend services, APIs, and React-based frontends supporting RL experiments and applications.
- Explore large-scale datasets and simulation environments to inform model development and performance evaluation.
- Ensure clean, modular, and testable code while following best practices in full-stack development.

Requirements:
- Minimum 3 years of experience building and deploying ML systems, including at least 1 year focused on reinforcement learning.
- Experience contributing to both backend and frontend components of production-grade systems.
- Strong programming skills in Python and JavaScript, with proficiency in frameworks such as PyTorch, TensorFlow, or JAX.
- Familiarity with RL libraries and environments such as OpenAI Gym, RLlib, Stable Baselines, or custom simulators.
- Experience with backend frameworks (FastAPI, Flask) and frontend frameworks (React, Vue).
- Understanding of containerization, cloud environments (GCP, AWS), distributed training, scaling RL systems, and experiment tracking.
- Ability to communicate with stakeholders and translate requirements into technical deliverables.

Benefits:
- $30+ per hour, based on experience, expertise, and location.
- Contractor role; no company-sponsored benefits provided.
- Requires provision of secure computer and high-speed internet.

This project offers hands-on experience deploying RL systems end-to-end in a collaborative, cutting-edge AI environment.