Remote AI Engineer - Reinforcement Learning Specialist

Placements24; Bloemfontein; Hybrid; ZAR 1,000,000 - 1,300,000; Full time

Benefits offered by this job

Annual performance bonus

Health benefits

Home office stipend

Internet & utilities reimbursements

Professional development budget

Flexible schedule

Job summary

WhatJobs Direct is recruiting a fully remote AI Engineer specializing in Reinforcement Learning (RL). The role focuses on designing and deploying RL models, with remote collaboration across a distributed team.

A strong RL background and Python/DL proficiency are essential. Based out of Bloemfontein, Free State, this remote position offers flexible scheduling, a competitive package, and opportunities for professional development including courses and conferences.

Qualifications

• Master's or Ph.D. in CS/AI/Robotics or related field with RL focus.
• Proven experience (4+ years) in developing and implementing RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic).
• Strong programming skills in Python and experience with TensorFlow or PyTorch.
• Familiarity with RL libraries/toolkits (Stable Baselines3, Ray RLlib).
• Experience with simulation environments (OpenAI Gym, MuJoCo, Isaac Gym).
• Solid understanding of ML principles and AI techniques.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills for remote teams.

Responsibilities

• Design, develop, and implement RL algorithms and models.
• Apply RL techniques to solve complex real-world problems.
• Build and maintain simulation environments for training RL agents.
• Collaborate with data scientists and software engineers to integrate RL solutions.
• Conduct thorough testing and validation of RL models for performance and reliability.
• Stay abreast of latest RL research and advancements.
• Optimize RL algorithms for efficiency and scalability.
• Document research, algorithms, and implementation details.
• Present findings and progress to technical teams.
• Mentor junior engineers and contribute to team knowledge.

Skills

Python programming

Reinforcement Learning

Remote teamwork

Analytical problem solving

Education

Master's or PhD in CS/AI/Robotics or related field with RL focus

Tools

TensorFlow

PyTorch

Stable Baselines3

Ray RLlib

OpenAI Gym

MuJoCo

Job description

About the Role WhatJobs Direct is excited to recruit for a fully remote AI Engineer with a specialization in Reinforcement Learning (RL). This is a unique opportunity to join a leading company in the AI & Emerging Technologies sector, contributing to the development of intelligent systems that learn and adapt through interaction. As a Remote AI Engineer, you will design, implement, and deploy RL algorithms for complex problems, working collaboratively with a distributed team of world-class AI professionals. Your work will directly impact the capabilities of our AI products and services. This role demands a deep understanding of RL theory, practical implementation skills, and a passion for exploring the frontiers of artificial intelligence. If you thrive in a remote-first environment and are passionate about shaping the future of AI, we invite you to apply for this groundbreaking position, based out of Bloemfontein, Free State, but executed entirely from your home office.

Key Responsibilities

• Design, develop, and implement novel Reinforcement Learning algorithms and models.
• Apply RL techniques to solve complex real-world problems across various domains.
• Build and maintain simulation environments for training and evaluating RL agents.
• Collaborate with data scientists and software engineers to integrate RL solutions into existing systems.
• Conduct thorough testing and validation of RL models to ensure performance and reliability.
• Stay abreast of the latest research and advancements in Reinforcement Learning and related AI fields.
• Optimize RL algorithms for efficiency and scalability.
• Document research, algorithms, and implementation details clearly.
• Present findings and progress reports to technical and leadership teams.
• Mentor junior engineers and contribute to the team's collective knowledge.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related field with a strong focus on Reinforcement Learning.
• Proven experience (4+ years) in developing and implementing RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods).
• Strong programming skills in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with RL libraries and toolkits (e.g., Stable Baselines3, Ray RLlib).
• Experience with simulation environments (e.g., OpenAI Gym, MuJoCo, Isaac Gym).
• Solid understanding of machine learning principles and other AI techniques.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills, essential for a remote team.
• Ability to work independently and manage time effectively in a remote setting.
• Experience with parallel computing and distributed training is a plus.

Benefits

• This fully remote position offers unparalleled flexibility and autonomy.
• You will receive a highly competitive salary, an annual performance bonus, and comprehensive health and wellness benefits.
• We offer a generous budget for continuous professional development, including access to specialized courses, certifications, and international conferences.
• The company provides a stipend for home office setup and monthly reimbursements for internet and utility costs.
• You'll collaborate with a global team of experts and contribute to cutting-edge AI research.
• Enjoy a flexible work schedule designed to promote a healthy work-life balance, enabling you to work from anywhere in South Africa.
• Join us and be at the forefront of Reinforcement Learning innovation.