Senior DRL Engineer: Robotics & Autonomy (Hybrid Pretoria)

Placements24

Gauteng

Hybrid

ZAR 900,000 - 1,800,000

Full time

5 days ago
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Benefits offered by this job

Healthcare benefits
Hybrid work environment in Pretoria
Professional development opportunities

Job summary

Placements24 in Pretoria seeks a Senior Machine Learning Engineer specializing in Deep Reinforcement Learning to join a cutting-edge AI team. You will design, implement, and optimize DRL systems for robotics control, autonomous navigation, and game-like environments, collaborating with data scientists and software engineers.

The role blends research and development, enabling hands-on experimentation with advanced DRL algorithms and simulation environments while promoting knowledge sharing within

Qualifications

  • Master's or Ph.D. in Computer Science, AI, Robotics, or related field.
  • 5+ years of professional ML experience with strong RL focus.
  • Proficiency with TensorFlow, PyTorch, or Keras.
  • Experience with simulation environments (Gym, MuJoCo, PyBullet).
  • Strong Python and ML libraries.
  • Right to work in Pretoria, South Africa.

Responsibilities

  • Design, develop, and implement deep reinforcement learning algorithms and models.
  • Apply DRL techniques to robotics control, autonomous navigation, and related areas.
  • Develop and maintain simulation environments for training RL agents.
  • Collaborate with data scientists and software engineers to integrate DRL models into applications.
  • Analyze results and iterate to improve models and algorithms.
  • Stay current with RL research and mentor junior engineers.
  • Ensure scalability and efficiency of DRL solutions.
  • Document research findings, methodologies, and code.

Skills

Reinforcement learning
Python programming
Analytical problem solving
Teamwork and communication

Education

Master's or PhD in CS/AI/Robotics

Tools

TensorFlow
PyTorch
Keras
OpenAI Gym
MuJoCo
PyBullet

Job description

Placements24 in Pretoria seeks a Senior Machine Learning Engineer specializing in Deep Reinforcement Learning to join a cutting-edge AI team. You will design, implement, and optimize DRL systems for robotics control, autonomous navigation, and game-like environments, collaborating with data scientists and software engineers.

The role blends research and development, enabling hands-on experimentation with advanced DRL algorithms and simulation environments while promoting knowledge sharing within

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