Remote-First Senior RL Research Engineer

Placements24; Benoni; Hybrid; ZAR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Remote-first role

Competitive salary

Professional development and research

Conference attendance opportunities

Job summary

Placements24, a leader in AI research, seeks a Senior AI Research Engineer specializing in Reinforcement Learning (RL). This remote-first role welcomes top talent globally, with a preference for candidates near Benoni, Gauteng.

You design, implement, and advance novel RL algorithms to solve real-world problems and drive research collaborations with a world-class team. You will develop RL methods for robotics, gaming, and autonomous systems, publish findings, mentor juniors, and push the

Qualifications

• Ph.D. or Master's in CS/AI with RL focus.
• Significant RL research experience with publications or projects.
• Strong RL theory and practical application skills.
• Proficiency in Python and DL frameworks (TF, PyTorch).
• Experience with RL libraries and toolkits.

Responsibilities

• Design and implement state-of-the-art RL algorithms.
• Develop and train RL agents for complex tasks.
• Research novel RL approaches and theoretical advancements.
• Collaborate with researchers and engineers to integrate RL into AI systems.
• Evaluate and optimize RL models in simulated and real environments.
• Publish findings in top conferences and journals.
• Mentor junior researchers and engineers in RL.
• Stay updated on RL/AI trends and develop robust simulators.

Skills

RL theory

Python

Deep learning

RL libraries

Research publications

Remote collaboration

System simulation

Education

Ph.D. or M.S. in CS/AI (RL focus)

Tools

OpenAI Gym

Stable Baselines

Job description

Placements24, a leader in AI research, seeks a Senior AI Research Engineer specializing in Reinforcement Learning (RL). This remote-first role welcomes top talent globally, with a preference for candidates near Benoni, Gauteng.

You design, implement, and advance novel RL algorithms to solve real-world problems and drive research collaborations with a world-class team. You will develop RL methods for robotics, gaming, and autonomous systems, publish findings, mentor juniors, and push the