Remote Python Engineer (FastAPI)

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

: We are seeking a Python Developer with strong expertise in FastAPI to join an exciting Reinforcement Learning (RL) Gym project. You will design, build, and optimize scalable APIs, collaborate with researchers and engineers, and deliver high-quality backend services to support reinforcement learning experiments and simulations. Prior RL Gym experience is not mandatory but would be a plus. What does day-to-day life look like? • Design, build, and maintain FastAPI-based services for experimentation workflows and simulation environments. • Collaborate with ML engineers to expose APIs for training, evaluation, and benchmarking. • Write efficient, production-grade Python code with a strong emphasis on scalability and maintainability. • Troubleshoot performance issues, optimize pipelines, and ensure smooth deployment of applications.

: • 4+ years of professional Python development experience including 3+ years of strong experience in FastAPI • Experience with REST APIs, async programming, and API lifecycle management. • Solid understanding of software engineering best practices (testing, CI/CD, version control, design patterns). • Familiarity with NumPy, Pandas, and PyTorch/TensorFlow is a plus. •

: Exposure to Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines, or custom environments) & SQL experience • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.