AI RL Research Engineer — Hybrid & Conference Support

Placements24; Vereeniging; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work arrangement

Conference attendance support

Medical and retirement benefits

Professional development

Job summary

Placements24 in Vereeniging, Gauteng seeks an AI Research Engineer (Reinforcement Learning) to design, implement, and evaluate innovative RL algorithms across robotics, control, and optimization domains. You will work on challenging real‑world problems, develop simulation environments, and publish findings while collaborating with a diverse team.

The role emphasizes strong RL theory, practical application, and a penchant for advancing AI research, with a hybrid work model and opportunities for

Qualifications

• Master's or Ph.D. in Computer Science, AI, ML or related field.
• Strong theoretical RL background with practical applications.
• Hands-on experience implementing RL algorithms for real tasks.
• Proficiency in Python and deep learning libraries (TF/PyTorch).
• Familiarity with simulation environments (Gym, MuJoCo, PyBullet).
• Excellent analytical and teamwork skills.

Responsibilities

• Research and develop advanced RL algorithms and models.
• Implement RL solutions using TensorFlow, PyTorch or Ray RLlib.
• Build and test simulation environments for RL agents.
• Apply RL to robotics, control, resource management, etc.
• Analyze results and iterate to improve performance.
• Collaborate with researchers and engineers to integrate RL.
• Publish findings in top conferences/journals.

Skills

Reinforcement Learning

Python

Deep Learning

RL frameworks

Education

Master's or Ph.D. in Computer Science / AI / ML

Strong RL theory

Tools

TensorFlow

PyTorch

OpenAI Gym

MuJoCo

PyBullet

Job description

Placements24 in Vereeniging, Gauteng seeks an AI Research Engineer (Reinforcement Learning) to design, implement, and evaluate innovative RL algorithms across robotics, control, and optimization domains. You will work on challenging real‑world problems, develop simulation environments, and publish findings while collaborating with a diverse team.

The role emphasizes strong RL theory, practical application, and a penchant for advancing AI research, with a hybrid work model and opportunities for