Turing31.01.26
AI SCORE 8.5

Python Developer - Reinforcement Learning Gym (Remote)

$90K–$120K/year

About the Role

We are seeking a Python Developer - Reinforcement Learning Gym to join our innovative team at Turing. This remote Python Developer position offers an exciting opportunity to work on cutting-edge AI projects and contribute to the development of scalable APIs for reinforcement learning experiments.

What You'll Do

  • 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.
  • Engage in continuous improvement of the development process and contribute to best practices in software engineering.

Requirements

  • 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.
  • Good to have: 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.

Nice to Have

  • Experience in developing scalable applications in a cloud environment.
  • Knowledge of containerization technologies like Docker.

What We Offer

  • Fully remote work environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Flexible work hours with a commitment of at least 4 hours per day and a minimum of 20 hours per week.
  • Engagement type: Contractor assignment (no medical/paid leave).
  • Access to a curated collection of remote jobs across all categories and industries.
Why This Job8.5 of 10

This role offers a unique opportunity to work with Turing, a leader in AI development, on exciting projects in a fully remote setting.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Turing

Explore Turing careers in 2026 and discover an array of remote, hybrid, and office roles tailored to your skills. Utilize our advanced filters to streamline your job search, track your applications effortlessly, and gain valuable company insights. With exciting career opportunities at Turing, you can find the perfect position that aligns with your aspirations and skills in the evolving tech landscape.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in building scalable REST APIs using FastAPI, with hands-on experience in asynchronous programming to ensure high performance in reinforcement learning simulations.

Strong analytical mindset with a demonstrated ability to leverage libraries like NumPy and Pandas for data manipulation and analysis, essential for training and evaluating reinforcement learning models.

Experience with machine learning frameworks such as PyTorch and TensorFlow, coupled with a passion for exploring innovative AI solutions and a self-driven attitude suited for remote work.

Learning Resources

FastAPI Documentationguide

Career Path

Python Developer - Reinforcement Learning Gym(Now)Machine Learning Engineer(1-2 years)Senior AI Research Scientist(3-5 years)

Market Overview

Market Size 2024
$60B
Annual Growth
11.2%
AI Adoption
75%
Investment
+150%
Labour Demand
+20%
Avg Salary
$120K

Skills & Requirements

Required
PythonFastAPIREST API
Growing in Demand
Machine LearningData EngineeringCloud Computing
Declining
jQueryPHP

Domain Trends

Rise of Reinforcement Learning
The reinforcement learning market is expected to grow by 30% annually as companies seek to leverage AI for complex decision-making.
Increased Demand for Async Programming
Async programming in Python is seeing a rise, with job postings increasing by 40% as applications require more efficient handling of concurrent tasks.
Shift to Serverless Architectures
Serverless architectures are gaining traction, with a 60% increase in adoption among Python developers, driven by the need for scalable applications without heavy infrastructure management.

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