Remote Senior Reinforcement Learning Engineer

Placements24; Noord-Kaap; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote work

Flexible scheduling

Health, dental, vision insurance

Professional development budget

Cutting-edge RL projects

Collaborative remote environment

Paid time off

Company retirement plan match

Job summary

Placements24 is seeking a Senior AI Engineer specializing in Reinforcement Learning to design, implement, and deploy advanced RL solutions from a global remote setting.

You will work on state-of-the-art RL algorithms, environments, and simulations, collaborating with cross-functional teams to solve real-world control and optimization tasks while mentoring engineers and sharing progress with stakeholders.

Qualifications

• Master's or PhD in Computer Science, AI, Robotics, or a related quantitative field.
• 5+ years of AI/ML experience with a strong specialization in Reinforcement Learning.
• Proven experience in applying RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic) to practical problems.
• Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with RL libraries and frameworks (e.g., Stable Baselines, RLlib) is a plus.
• Strong understanding of mathematics, statistics, and optimization techniques.
• Experience with simulation environments (e.g., OpenAI Gym, MuJoCo) is advantageous.
• Excellent problem-solving, analytical, and algorithmic thinking skills.
• Strong communication and collaboration skills, effective in a remote setting.
• Demonstrated ability to lead technical initiatives.

Responsibilities

• Design, implement, and evaluate state-of-the-art Reinforcement Learning algorithms.
• Develop and maintain RL environments and simulation platforms.
• Apply RL techniques to solve real-world problems in control systems, optimization, and autonomous decision-making.
• Collaborate with cross-functional teams to define project requirements and objectives.
• Optimize RL agents for performance, stability, and efficiency.
• Stay abreast of the latest research and advancements in Reinforcement Learning.
• Contribute to the deployment and operationalization of RL solutions in production.
• Write clean, well-documented, and testable code.
• Mentor junior engineers and contribute to the team's technical growth.
• Communicate research findings and project progress to stakeholders.

Skills

Reinforcement Learning

Python

TensorFlow

PyTorch

RL libraries

OpenAI Gym

Algorithm design

Remote collaboration

Mentoring

Education

Master's or PhD in CS/AI/Robotics

Tools

Stable Baselines

RLlib

MuJoCo

Job description

Placements24 is seeking a Senior AI Engineer specializing in Reinforcement Learning to design, implement, and deploy advanced RL solutions from a global remote setting.

You will work on state-of-the-art RL algorithms, environments, and simulations, collaborating with cross-functional teams to solve real-world control and optimization tasks while mentoring engineers and sharing progress with stakeholders.