Machine Learning Engineer - Reinforcement Learning Specialist

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

Benefits offered by this job

Competitive salary

Health insurance

Generous vacation days

Conference access

Flexible work arrangements

Job summary

Placements24 seeks a highly specialized Machine Learning Engineer with RL expertise to advance state-of-the-art RL for autonomous decision-making in Pretoria. You will design and implement RL algorithms, train agents, and push them into production while collaborating with researchers and engineers.

The role focuses on hands-on coding, experimentation, and model optimization, offering a stimulating environment with top talent and opportunities for advanced training and conferences.

Qualifications

• Master's or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field with RL focus.
• Proven experience in developing and implementing RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic).
• Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Experience with RL libraries (Stable Baselines, RLlib) is a strong asset.
• Solid understanding of ML principles and calculus/linear algebra.

Responsibilities

• Design, implement, and optimize RL algorithms.
• Develop and train RL agents for complex control and decision-making tasks.
• Integrate RL models into product functionalities.
• Collaborate with researchers and engineers to translate research into production.
• Experiment and evaluate RL models.
• Stay current with RL, deep learning, and AI research.
• Develop simulation environments for training RL agents.
• Contribute to codebase with high software engineering standards.
• Troubleshoot and debug RL systems and performance issues.

Skills

Reinforcement Learning

Python

Experimentation

Mathematical foundations

Problem solving

Independent work

Collaboration

Education

Master's or PhD in Computer Science/AI/Robotics (RL focus)

Tools

TensorFlow

PyTorch

Keras

OpenAI Gym

Stable Baselines / RLlib

Git

Job description

About the Role

Our client, a leader in AI and Emerging Technologies, is seeking a highly specialized Machine Learning Engineer with expertise in Reinforcement Learning (RL) to join their innovative team in **Pretoria**. This role is crucial for developing and implementing advanced RL algorithms that drive intelligent systems and autonomous decision-making processes. You will be at the forefront of applying RL to solve complex real-world problems, pushing the boundaries of what AI can achieve. This position offers a stimulating environment where you can collaborate with top talent and contribute to groundbreaking projects. We are looking for a passionate and results-oriented individual who thrives on tackling challenging technical problems. The role involves significant hands-on coding, experimentation, and model optimization, making it ideal for a proactive and skilled engineer eager to make a substantial impact.

Key Responsibilities

• Design, implement, and optimize state-of-the-art Reinforcement Learning algorithms.
• Develop and train RL agents for complex control and decision-making tasks.
• Integrate RL models into existing or new product functionalities.
• Collaborate with research scientists and software engineers to translate research into production systems.
• Conduct rigorous experimentation and evaluation of RL algorithms and models.
• Stay current with the latest advancements in RL, deep learning, and AI research.
• Develop simulation environments for training and testing RL agents.
• Contribute to the codebase, ensuring high standards of software engineering practices.
• Troubleshoot and debug RL systems, identifying and resolving performance issues.

Requirements

• Master's or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field with a focus on Reinforcement Learning.
• Proven experience in developing and implementing RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods).
• Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Experience with RL libraries (e.g., Stable Baselines, RLlib) is a strong asset.
• Solid understanding of underlying machine learning principles and calculus/linear algebra.
• Experience with simulation tools (e.g., OpenAI Gym, MuJoCo) is beneficial.
• Strong software engineering skills, including testing and version control (Git).
• Ability to work effectively both independently and as part of a collaborative team.
• Excellent problem-solving and analytical abilities.

Benefits

• Highly competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous vacation days and company holidays.
• Opportunities for advanced training and attendance at leading AI conferences.
• Access to powerful computational resources for research and development in **Pretoria**.
• Retirement savings plan with employer matching.
• Flexible work arrangements.
• A stimulating work environment focused on innovation and technical excellence.