Reinforcement Learning Engineer

Codertal

Union (NJ)

Remote

USD 96,227 - 138,995

Full time

14 days+

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Benefits offered by this job

Competitive daily rates

Fully remote work

Flexible hours

Work on state-of-the-art RL projects

Join a dynamic international tech community

Job summary

A technology firm is seeking a Reinforcement Learning Engineer for a remote opportunity. This role involves developing and optimizing RL algorithms and collaborating with teams to implement solutions. Candidates should have strong skills in Python and notable RL frameworks. Ideal for individuals with a Bachelor’s or Master’s degree in a relevant field. Competitive daily rates and flexible hours offered.

Qualifications

Proven experience with Reinforcement Learning algorithms and frameworks.
Familiarity with RL libraries like Gym, Mujoco, Isaac Gym, or Stable Baselines.
Understanding of policy gradients, Q-learning, actor-critic methods, and model-based RL.

Responsibilities

Develop and optimize reinforcement learning algorithms and agents.
Design and train RL models.
Implement efficient reward shaping strategies.

Skills

Reinforcement Learning

Python

PyTorch

TensorFlow

JAX

RL libraries

Education

Bachelor’s or Master’s degree in AI, ML, Robotics, or related field

Job description

Codertal is hiring a Reinforcement Learning Engineer for a remote opportunity within the European Union on a B2B contract. If you’re passionate about designing intelligent agents that learn through interaction, optimize rewards, and shape autonomous decision‑making systems, this role is for you!

Last Updated: 16.11.2025

📍 Location:

Remote – European Union

🤝 Contract Type:

B2B Contract

💼 Experience Level:

Mid to Senior

🚀 About the Role

Codertal is looking for an innovative and highly skilled Reinforcement Learning Engineer to build, train, and optimize intelligent agents for real‑world applications. You will work on RL algorithms, simulation environments, reward modeling, and advanced optimization strategies to support our international clients in creating autonomous AI‑driven systems.

You will collaborate closely with AI researchers, software engineers, and product teams to transform cutting‑edge RL concepts into scalable, production‑ready solutions.

🔎 Key Responsibilities

✅ Develop and optimize reinforcement learning algorithms and agents.
✅ Design and train RL models using custom or standard environments.
✅ Implement efficient reward shaping strategies for complex tasks.
✅ Build scalable training pipelines, simulations, and policy optimization workflows.
✅ Analyze model performance and iterate for continuous improvement.
✅ Collaborate with cross‑functional teams to integrate RL solutions into real‑world products.
✅ Ensure safe, ethical, and reliable model behavior during deployment.

🎯 Required Skills and Experience

✔️ Proven experience with Reinforcement Learning algorithms and frameworks.
✔️ Strong knowledge of Python, PyTorch, TensorFlow, or JAX.
✔️ Familiarity with RL libraries like Gym, Mujoco, Isaac Gym, or Stable Baselines.
✔️ Understanding of policy gradients, Q‑learning, actor‑critic methods, and model‑based RL.
✔️ Experience building simulations or training environments.
✔️ Ability to work with interdisciplinary teams and communicate technical concepts clearly.
✔️ Bachelor’s or Master’s degree in AI, ML, Robotics, or related field.
✔️ Intermediate to high level of English.
✔️ Must be located within the European Union.