Reinforcement Learning Specialist

Placements24; East London; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Home office stipend

Fully remote with flexible hours

Professional development budget

Job summary

Placements24 is seeking a dedicated Reinforcement Learning Specialist to join its remote-first team. You will design, implement, and optimize advanced RL algorithms across robotics, autonomous systems, and game AI, collaborating with researchers and engineers worldwide.

You will publish findings, contribute to RL libraries, and push the boundaries of what intelligent agents can achieve, all while working in a fully distributed environment with flexible hours.

Qualifications

• PhD or Master’s in Computer Science, Artificial Intelligence, Robotics, or related field with RL specialization.
• Proven experience in developing and applying reinforcement learning algorithms (e.g., Q-learning, Policy gradients, Actor-Critic, Deep RL).
• Strong Python programming skills and experience with deep learning frameworks (TensorFlow or PyTorch).
• Experience with RL simulation environments (OpenAI Gym, MuJoCo) is highly desirable.
• Solid understanding of ML fundamentals, math, and statistics.
• Ability to conduct independent research and contribute to a remote team.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Research, design, and implement novel RL algorithms and techniques.
• Develop and train RL agents for complex decision-making tasks in simulated and real-world environments.
• Optimize RL algorithms for performance, efficiency, and scalability.
• Collaborate with researchers and engineers to integrate RL solutions into larger systems.
• Analyze experimental results, identify improvements, and iterate on models.
• Stay current with RL research and publish findings.
• Contribute to RL libraries and frameworks.

Skills

Reinforcement learning

Python programming

Analytical thinking

Remote teamwork

Communication

Education

PhD or Master’s in CS/AI/Robotics

Tools

TensorFlow

PyTorch

OpenAI Gym

MuJoCo

Job description

About the Role

Our client, a cutting-edge company in the AI & Emerging Technologies sector, is actively recruiting a dedicated Reinforcement Learning Specialist to join their globally distributed, remote-first team. This role focuses on designing, implementing, and optimizing advanced reinforcement learning (RL) algorithms to solve complex problems across various domains, including robotics, autonomous systems, and game AI. You will be at the forefront of RL research and development, pushing the boundaries of what intelligent agents can achieve. Working remotely, you will collaborate with a world-class team of researchers and engineers, leveraging state-of-the-art tools and computational resources. This is an exceptional opportunity for a motivated individual passionate about the potential of RL to drive transformative innovations.

Key Responsibilities

• Research, design, and implement novel reinforcement learning algorithms and techniques.


• Develop and train RL agents for complex decision-making tasks in simulated and real-world environments.


• Optimize RL algorithms for performance, efficiency, and scalability.


• Collaborate with other researchers and engineers to integrate RL solutions into larger systems.


• Analyze experimental results, identify areas for improvement, and iterate on model designs.


• Stay current with the latest research papers, trends, and advancements in reinforcement learning and related fields.


• Contribute to the development of RL libraries and frameworks.


• Publish research findings in top-tier conferences and journals.


• Clearly document and present research progress and results to team members and stakeholders.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field with a specialization in Reinforcement Learning.


• Proven experience in developing and applying reinforcement learning algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods, Deep RL).


• Strong programming skills in Python and proficiency with deep learning frameworks such as TensorFlow or PyTorch.


• Experience with RL simulation environments (e.g., OpenAI Gym, MuJoCo) is highly desirable.


• Solid understanding of machine learning fundamentals, statistics, and mathematics.


• Ability to conduct independent research and contribute effectively to a team.


• Excellent analytical, problem-solving, and critical thinking skills.


• Strong written and verbal communication skills.


• Experience working in a remote or distributed team setting is a plus.

Benefits

• Competitive salary and performance-based compensation.


• Fully remote work arrangement with flexible hours.


• Comprehensive health, dental, and vision insurance.


• Generous budget for professional development, including conference attendance.


• Opportunity to work on groundbreaking RL research and applications.


• Collaborative and intellectually stimulating environment.


• Home office setup stipend.