AI Research Scientist - Reinforcement Learning

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.

• 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.

• 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 (Tensor Flow, 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.

• 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.