AI Research Scientist - Reinforcement Learning

Placements24; Mossel Bay; Hybrid; ZAR 2.470.000 - 3.458.000; Vollzeit

Benefits dieser Stelle

Flexible hours

Remote work

Health, dental & vision insurance

Paid time off

Professional development budget

Conferences attendance

Zusammenfassung

Placements24 is seeking an AI Research Scientist focused on Reinforcement Learning to join a remote-first team. You will conduct cutting-edge RL research, develop novel algorithms, and validate them across simulations and real-world data while collaborating with a diverse international group of researchers.

The role emphasizes publishing results, mentoring juniors, and contributing to open-source projects with flexible hours in a fully remote environment.

Qualifikationen

• PhD or Master’s in CS/AI with strong RL focus.
• 4+ years of RL research experience.
• Publications, patents or notable open-source contributions.

Aufgaben

• Conduct advanced RL research (deep RL, multi-agent RL, model-based RL).
• Develop, implement and evaluate novel RL algorithms.
• Design experiments using simulations and real data to validate RL approaches.
• Collaborate with researchers/engineers to integrate RL into systems.
• Publish findings in top conferences/journals and contribute to open-source.
• Mentor junior researchers and interns in RL techniques.

Kenntnisse

Reinforcement Learning

Research

Python

Communication

Ausbildung

PhD in CS/AI

Master’s in CS/AI

Tools

TensorFlow

PyTorch

ROS/Robotics Simulators

Jobbeschreibung

About the Role

Our client, a global leader in AI innovation, is seeking a highly talented and motivated AI Research Scientist specializing in Reinforcement Learning (RL) to join their **fully remote** team. This position is ideal for a candidate passionate about pushing the boundaries of AI through advanced RL techniques. You will conduct groundbreaking research, develop novel algorithms, and contribute to projects that have a significant real-world impact, potentially in areas like robotics, autonomous systems, or complex optimization problems. As a **remote-first** role, you will collaborate with a diverse, international team of top researchers and engineers, leveraging advanced tools and platforms. This is a unique opportunity to shape the future of intelligent systems from anywhere in the world.

Key Responsibilities

• Conduct advanced research in Reinforcement Learning, including areas like deep RL, multi-agent RL, and model-based RL.
• Develop, implement, and evaluate novel RL algorithms and methodologies.
• Design and conduct experiments to test and validate RL approaches using simulations and real-world data.
• Collaborate with other researchers and engineers to integrate RL solutions into larger systems.
• Stay abreast of the latest research trends and publications in AI, machine learning, and reinforcement learning.
• Publish research findings in top-tier conferences and journals.
• Contribute to the open-source AI community where appropriate.
• Mentor junior researchers and interns in RL techniques.
• Develop high-quality, well-documented code for research and prototyping.
• Analyze experimental results and provide insights for future research directions.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong focus on Reinforcement Learning.
• Minimum of 4 years of relevant research experience in RL.
• Proven track record of research contributions, demonstrated through publications, patents, or significant open-source contributions.
• Proficiency in programming languages such as Python, and expertise in ML/DL frameworks (TensorFlow, PyTorch).
• Strong understanding of RL algorithms, theory, and applications.
• Experience with simulation environments and robotics platforms is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to present complex research clearly.
• Experience working effectively in a **remote** and collaborative team setting.
• Ability to work independently and manage research projects with minimal supervision.

Benefits

• Be part of a leading global AI research team.
• Competitive salary and attractive bonus structure.
• Opportunity to work on high-impact, cutting-edge research problems.
• Flexible working hours and a fully **remote** work environment.
• Access to significant computational resources and research tools.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and professional development budget.
• Encouragement to publish research and attend leading conferences.