RL Research Engineer - Pioneering AI Innovation

Placements24; Noord-Kaap; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health coverage

Retirement plans

Professional development opportunities

Job summary

Placements24 seeks an AI Research Engineer specializing in Reinforcement Learning to join its Kimberley-based research team. You will design, implement, and evaluate novel RL approaches, collaborating with engineers to advance RL capabilities on real-world problems.

The role requires a strong RL background, publications, and excellent programming in Python with TensorFlow or PyTorch. You will contribute to cutting-edge projects in a collaborative environment with access to advanced computing

Qualifications

• PhD or MSc in CS/AI/ML with strong RL focus
• Proven RL research with publications
• Deep understanding of RL algorithms (Q-learning, Policy Gradients, Actor-Critic)
• Strong Python and DL framework skills (TF/PyTorch)
• Experience with RL libraries/simulators (OpenAI Gym, Stable Baselines)
• Proficiency with Git and software dev practices
• Excellent analytical and communication skills
• Experience in research environments and teamwork

Responsibilities

• Conduct cutting-edge RL research exploring new algorithms
• Design, implement, and test RL agents and environments
• Apply RL to robotics, optimization and game playing
• Collaborate with researchers and engineers to advance RL capabilities
• Analyze results, document findings, communicate outcomes
• Develop and maintain production-ready RL code
• Stay updated on RL/ML/AI research
• Contribute to publications and top conferences
• Evaluate and benchmark RL algorithms
• Mentor junior researchers and interns

Skills

Reinforcement Learning

Publications

Python

Deep Learning

Communication

Education

PhD or MSc in CS/AI/ML

Tools

TensorFlow

PyTorch

OpenAI Gym

Stable Baselines

Git

Job description

Placements24 seeks an AI Research Engineer specializing in Reinforcement Learning to join its Kimberley-based research team. You will design, implement, and evaluate novel RL approaches, collaborating with engineers to advance RL capabilities on real-world problems.

The role requires a strong RL background, publications, and excellent programming in Python with TensorFlow or PyTorch. You will contribute to cutting-edge projects in a collaborative environment with access to advanced computing