Machine Learning Engineer

Title: ML Engineer (Implementation & Validation) Employment Type: 3M Contract Location: Remote (CST Hours) Salary: 55-70/hr + Completion bonus depending on performance Must Have: • Solid Python 3.x • Hands-on ML coding experience — running, modifying, or experimenting with existing models or agents • Familiarity with at least one ML framework (PyTorch, TensorFlow, or stable-baselines3) • pytest — writing smoke tests and validation scripts • Dependency management — pip, conda, virtual environments • Git workflows Good to Have: • NumPy or image/array manipulation • Experience with experiment tracking (MLflow, W&B, or similar) • Docker or containerized environments • Gymnasium or any RL framework exposure • Game dev, simulation, robotics, or CV background PROJECT DESCRIPTION This project is focused on building and testing a set of reinforcement learning (RL) environments that the client's AI researchers will use to run experiments in a Fortune 500 environment. Think of these environments as controlled, game-like playgrounds where AI models can learn through trial and error. The team is responsible for setting up the Gymnasium framework, configuring and enhancing several classic game environments like Pong, Breakout, and Space Invaders, and ensuring everything runs smoothly within the client's systems. They are also building testing and validation tools to confirm the environments work end-to-end, but they are not developing or training the AI models themselves. The goal is to deliver reliable, well-documented environments so client's internal teams can use them as a foundation for their own research and experimentation.