Sobre

• 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.