Remote Reinforcement Learning Engineer - EU

Codertal; Union (NJ); Remote; USD 96,227 - 138,995; Full time

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

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.