**What You'll Do** Support projects by designing and implementing reinforcement learning systems that bridge research and deployment. Work across the stack to contribute to both backend services and frontend interfaces that enable RL\-driven applications. * **Develop RL Models and Pipelines:** Design, train, and evaluate reinforcement learning models tailored to dynamic environments and optimization problems. * **Application Integration:** Collaborate with engineers and data scientists to integrate RL models into production systems and interfaces, ensuring usability and performance. * **Full Stack Contribution:** Contribute to backend services, APIs, and React\-based frontends supporting RL experiments and applications. * **Data Exploration and Experimentation:** Work with large\-scale datasets and simulation environments to inform model development and evaluation. **What We Need** **Professional Experience:** * 3\+ years of experience building and deploying ML systems, with at least 1\+ year focused on reinforcement learning. * Background contributing to both backend and frontend components of production\-grade systems. * Experience engaging with stakeholders or project teams to refine requirements and translate into technical deliverables. **Technical Expertise:** * Strong programming skills in Python and JavaScript (or similar), with proficiency in frameworks such as PyTorch, TensorFlow, or JAX for RL. * Familiarity with RL libraries and environments (e.g., OpenAI Gym, RLlib, Stable Baselines, custom simulators). * Experience with backend frameworks (FastAPI, Flask, or similar) and frontend frameworks (React, Vue, or similar). * Comfort with containerization and cloud environments (GCP, AWS, or similar). * Understanding of distributed training, scaling RL systems, and experiment tracking. * Ability to produce clean, modular, and testable code in collaborative environments. **Important:** We offer a pay range of $30\+ per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you'll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. All candidates must pass an interview as part of the contracting process.