Senior Machine Learning Engineer - Deep Reinforcement Learning

Placements24; Pretoria; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary and incentives

Healthcare benefits

Generous paid time off

Professional development opportunities

Access to HPC resources

Hybrid work in Pretoria

AI research culture

Job summary

Placements24 in Pretoria is seeking a Senior Machine Learning Engineer with a DRL focus to design and implement advanced reinforcement learning solutions for robotics and autonomous systems.

The role involves building simulation environments, collaborating with data scientists and engineers, and driving continuous improvements through experiments and research. Hybrid work in Pretoria is offered, with opportunities for professional development in AI.

Qualifications

• Master's or Ph.D. in Computer Science, AI, Robotics or a related field.
• Minimum 5 years of professional ML experience with a strong RL focus.
• Proficient with DL frameworks: TensorFlow, PyTorch, or Keras.
• Strong Python skills and ML library experience; excellent problem solving.

Responsibilities

• Design, develop, and implement DRL algorithms and models.
• Apply DRL to robotics control, autonomous navigation, and games.
• Develop and maintain DRL simulation environments for training.
• Collaborate with data scientists and software engineers to integrate models.
• Analyze experiments and data to improve models and algorithms.
• Stay updated on DRL research and related fields.
• Mentor junior engineers and share knowledge within the team.
• Ensure scalable and efficient DRL solutions and good documentation.

Skills

Reinforcement Learning

Python

TensorFlow

PyTorch

Keras

RL algorithms

OpenAI Gym

PyBullet

Education

Master's or Ph.D. in CS/AI/Robotics

Tools

OpenAI Gym

MuJoCo

PyBullet

Job description

About the Role

Our client, a prominent innovator in applied artificial intelligence, is actively seeking a Senior Machine Learning Engineer with a specialization in Deep Reinforcement Learning (DRL) to join their team in **Pretoria**. This role is for an experienced professional who is passionate about developing intelligent systems capable of learning and making decisions in complex environments. You will work on challenging projects involving simulation, robotics, and autonomous systems, contributing to the advancement of AI capabilities. The position in **Pretoria** offers a unique blend of research and development, allowing you to apply cutting-edge DRL algorithms to solve real-world problems. You will collaborate with a talented team of AI experts and contribute to a culture that values innovation and technical excellence. This is a chance to be part of a team shaping the future of autonomous decision-making.

Key Responsibilities

• Design, develop, and implement deep reinforcement learning algorithms and models.
• Apply DRL techniques to solve complex problems in areas such as robotics control, autonomous navigation, game playing, and resource optimization.
• Develop and maintain simulation environments for training and evaluating RL agents.
• Collaborate with data scientists and software engineers to integrate DRL models into applications and systems.
• Analyze and interpret experimental results, making data-driven improvements to models and algorithms.
• Stay abreast of the latest research and advancements in reinforcement learning and related fields.
• Mentor junior engineers and contribute to the team's knowledge sharing.
• Ensure the scalability and efficiency of implemented DRL solutions.
• Document research findings, methodologies, and code.

Requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or a related field.
• Minimum of 5 years of professional experience in machine learning, with a strong focus on reinforcement learning.
• Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods) and their theoretical foundations.
• Experience in developing and working with simulation environments (e.g., OpenAI Gym, MuJoCo, PyBullet).
• Proficiency in Python and relevant ML libraries.
• Strong analytical and problem-solving skills, with the ability to tackle complex technical challenges.
• Excellent communication and teamwork abilities.
• Must have the right to work in **Pretoria**, South Africa.

Benefits

• Competitive salary and performance incentives.
• Comprehensive healthcare benefits.
• Generous paid time off.
• Professional development opportunities, including conferences and advanced training.
• Access to high-performance computing resources.
• Hybrid work environment offering a balance between remote and office work in **Pretoria**.
• Be part of a cutting-edge AI research and development team.