Senior AI Research Engineer - Reinforcement Learning

Placements24; Benoni; Hybrid; ZAR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Remote-first role

Competitive salary

Professional development and research

Conference attendance opportunities

Job summary

Placements24, a leader in AI research, seeks a Senior AI Research Engineer specializing in Reinforcement Learning (RL). This remote-first role welcomes top talent globally, with a preference for candidates near Benoni, Gauteng.

You design, implement, and advance novel RL algorithms to solve real-world problems and drive research collaborations with a world-class team. You will develop RL methods for robotics, gaming, and autonomous systems, publish findings, mentor juniors, and push the

Qualifications

• Ph.D. or Master's in CS/AI with RL focus.
• Significant RL research experience with publications or projects.
• Strong RL theory and practical application skills.
• Proficiency in Python and DL frameworks (TF, PyTorch).
• Experience with RL libraries and toolkits.

Responsibilities

• Design and implement state-of-the-art RL algorithms.
• Develop and train RL agents for complex tasks.
• Research novel RL approaches and theoretical advancements.
• Collaborate with researchers and engineers to integrate RL into AI systems.
• Evaluate and optimize RL models in simulated and real environments.
• Publish findings in top conferences and journals.
• Mentor junior researchers and engineers in RL.
• Stay updated on RL/AI trends and develop robust simulators.

Skills

RL theory

Python

Deep learning

RL libraries

Research publications

Remote collaboration

System simulation

Education

Ph.D. or M.S. in CS/AI (RL focus)

Tools

OpenAI Gym

Stable Baselines

Job description

About the Role

Our client, a leader in pioneering AI research and development, is actively seeking a Senior AI Research Engineer specializing in Reinforcement Learning (RL). This role is structured as a remote-first position, welcoming top talent from anywhere in the world, with a strong emphasis for candidates in or near Benoni, Gauteng. You will be at the forefront of designing, implementing, and advancing novel RL algorithms and frameworks to solve complex real-world problems. This position demands a profound understanding of RL theory and practical experience in applying it to domains such as robotics, game playing, or autonomous systems. You will drive research initiatives, collaborate with a world-class team, and contribute to groundbreaking advancements in artificial intelligence.

Key Responsibilities

• Design and implement state-of-the-art reinforcement learning algorithms.
• Develop and train RL agents for complex decision-making tasks.
• Conduct research into novel RL approaches and theoretical advancements.
• Collaborate with other researchers and engineers to integrate RL solutions into larger AI systems.
• Evaluate and optimize the performance of RL models in various simulated and real-world environments.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and engineers in the field of reinforcement learning.
• Stay abreast of the latest academic and industry trends in RL and AI.
• Develop robust simulation environments for RL experimentation.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on RL.
• Significant research experience in reinforcement learning, demonstrated through publications or substantial project work.
• Strong theoretical foundation in RL concepts (e.g., Q-learning, Policy Gradients, Deep RL).
• Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with RL libraries and toolkits (e.g., OpenAI Gym, Stable Baselines).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, suited for a remote team.
• Experience in simulation development or working with complex systems.
• Ability to conduct independent research and drive projects to completion.

Benefits

• This remote-first role offers exceptional work-life balance and the flexibility to work from anywhere.
• Our client provides a highly competitive salary, comprehensive benefits package, and generous opportunities for professional development, including conference attendance and access to cutting-edge research resources.
• You’ll be part of a globally distributed, highly talented team focused on pushing the boundaries of AI.
• Join us and contribute to transformative advancements in reinforcement learning from your remote location, near Benoni, Gauteng, or wherever you call home.