×
Register Here to Apply for Jobs or Post Jobs. X

Remote AI Engineer - Reinforcement Learning Specialist

Remote / Online - Candidates ideally in
Rustenburg, 0202, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-31
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
About the Role

Our client, a pioneering force in AI research and development, is looking for a talented and dedicated Remote AI Engineer with a specialization in Reinforcement Learning (RL) to join their globally distributed team. This fully remote position offers the unique opportunity to contribute to cutting-edge projects that leverage RL to solve complex decision-making problems across various industries. You will be instrumental in designing, implementing, and optimizing RL algorithms, working on challenges that require sophisticated AI solutions.

The ideal candidate is a proactive, self-driven individual with a deep theoretical understanding of RL and practical experience in applying these concepts to real-world scenarios. This role is perfect for an AI enthusiast who thrives in an autonomous, results-oriented environment and is passionate about advancing the frontiers of artificial intelligence.

Key Responsibilities
  • Design, implement, and evaluate novel Reinforcement Learning algorithms and models.
  • Develop simulation environments and integrate RL agents into existing systems.
  • Conduct experiments to benchmark and optimize RL agent performance across diverse tasks.
  • Collaborate with a remote team of AI researchers and engineers through virtual communication tools.
  • Stay current with the latest research and advancements in Reinforcement Learning and related fields.
  • Contribute to the entire ML lifecycle, including data preparation, feature engineering, model training, and deployment.
  • Write clean, maintainable, and well-documented code in Python or other relevant languages.
  • Present research findings and project progress to the team and stakeholders.
  • Identify opportunities for applying RL to solve business challenges and drive innovation.
Requirements
  • M.Sc. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong focus on Reinforcement Learning.
  • Proven experience in applying RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods) to practical problems.
  • Proficiency in Python and deep learning frameworks such as Tensor Flow or PyTorch.
  • Experience with RL libraries (e.g., OpenAI Gym, Stable Baselines3) is highly advantageous.
  • Strong mathematical and statistical background relevant to machine learning.
  • Excellent problem-solving skills and the ability to work independently in a remote setting.
  • Strong communication skills, with the ability to articulate technical concepts effectively in a virtual environment.
  • Demonstrated ability to manage multiple tasks and prioritize effectively.
Benefits

This fully remote role offers exceptional flexibility and the opportunity to work from anywhere. Our client provides a highly competitive salary, comprehensive health and wellness benefits, and a generous annual bonus structure. Professional development is highly valued, with support for attending virtual conferences, online courses, and obtaining relevant certifications. Employees benefit from a collaborative and inclusive virtual work culture, regular team-building activities, and access to state-of-the-art cloud computing resources.

Join a cutting-edge AI company and contribute to impactful projects while enjoying the freedom and autonomy of a remote career. This is an exciting opportunity to be at the forefront of RL innovation.

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary