Machine Learning Engineer - Reinforcement Learning

Placements24; Paarl; Presencial; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement planning

Professional development opportunities

Descripción de la vacante

Placements24 is seeking a Machine Learning Engineer specialized in Reinforcement Learning (RL) to join our Paarl team in the Western Cape. You will design, implement, and optimize RL algorithms for complex problems, collaborating with engineers and domain experts to push the boundaries of intelligent automation.

The role requires a strong RL background, advanced degrees, and 3+ years of ML experience with RL, plus proficiency in Python and libraries such as TensorFlow, PyTorch, and RLlib.

Formación

• Master's or PhD in CS, AI, Robotics or related with RL focus
• 3+ years of ML experience with RL emphasis
• Strong RL theory: Q-learning, policy gradients, value functions
• Proficiency in Python and ML/RL libraries
• Experience with simulation environments (OpenAI Gym, MuJoCo desirable)
• Git and software engineering practices

Responsabilidades

• Design, develop, and implement RL algorithms and frameworks for optimization/control
• Train and evaluate RL agents using simulations and real data
• Research and apply deep/model-based/multi-agent RL techniques
• Collaborate with domain experts and engineers to define RL problem spaces
• Optimize RL model performance for efficiency, stability, scalability
• Stay updated with RL research and advancements
• Contribute to testing/validation methodologies for RL systems
• Mentor junior engineers in reinforcement learning

Conocimientos

Reinforcement Learning

Problem solving

Analytical skills

Communication & collaboration

Educación

Master's or PhD in CS/AI/Robotics

Herramientas

Python

TensorFlow

PyTorch

Ray RLlib

Stable Baselines

Descripción del empleo

About the Role

Our client, a leader in developing advanced AI systems, is seeking a talented Machine Learning Engineer with a specialization in Reinforcement Learning (RL) to join their innovative team in **Paarl, Western Cape**. This role is crucial for pushing the boundaries of intelligent automation and decision-making systems. You will be instrumental in designing, implementing, and optimizing RL algorithms for complex real-world problems, contributing to breakthroughs in areas such as robotics, autonomous systems, and optimization. This is an exceptional opportunity to work in a collaborative research-oriented environment in the beautiful **Paarl** region.

Key Responsibilities

• Design, develop, and implement RL algorithms and frameworks to solve challenging optimization and control problems.
• Train and evaluate RL agents using simulation environments and real-world data.
• Research and apply advanced RL techniques, including deep RL, model-based RL, and multi-agent RL.
• Collaborate with domain experts and software engineers to define RL problem spaces and integrate solutions.
• Optimize RL model performance for efficiency, stability, and scalability.
• Stay current with the latest research papers and advancements in reinforcement learning.
• Contribute to the development of robust testing and validation methodologies for RL systems.
• Mentor junior engineers and share expertise in reinforcement learning.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related field with a strong focus on Reinforcement Learning.
• 3+ years of experience in developing and implementing machine learning models, with a significant focus on RL.
• Strong theoretical understanding of reinforcement learning concepts (e.g., Q-learning, policy gradients, value functions).
• Proficiency in Python and relevant ML/RL libraries (e.g., TensorFlow, PyTorch, Ray RLlib, Stable Baselines).
• Experience with simulation environments (e.g., OpenAI Gym, MuJoCo) is highly desirable.
• Familiarity with software engineering best practices and version control (Git).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Benefits

Our client offers a highly competitive salary and an attractive benefits package, including comprehensive health coverage and retirement planning. Opportunities for professional development, attending top AI conferences, and engaging in groundbreaking research are abundant. The work environment in **Paarl, Western Cape**, encourages innovation and collaboration, providing a stimulating setting for experts in the field of AI. Contribute to pioneering advancements in reinforcement learning.