Senior AI Research Scientist - Reinforcement Learning

Placements24; East London; Hybrid; ZAR 2,461,000 - 3,445,000; Full time

Benefits offered by this job

Remote work

Health benefits

Development budget

Flexible schedule

Research opportunities

Collaborative culture

Job summary

WhatJobs Direct is seeking a Senior AI Research Scientist specializing in Reinforcement Learning to push the boundaries of AI for autonomous systems. This fully remote role offers the chance to lead novel RL research, design algorithms, and contribute to real-world deployments from anywhere.

You'll publish in top conferences, collaborate with a global team, and mentor junior researchers while advancing cutting-edge ML methods in a supportive, innovative environment.

Qualifications

• PhD or master's in CS/AI or related quantitative field.
• Strong RL publication record.
• Experience with RL theory and multi-agent RL is a plus.

Responsibilities

• Conduct fundamental and applied RL research.
• Design, implement, and evaluate advanced RL models.
• Collaborate with global research teams to deploy RL solutions.
• Publish findings in top AI conferences and journals.
• Develop high-quality RL experiment code and simulations.
• Mentor junior researchers and guide project direction.
• Stay updated with RL and ML advances.
• Contribute to strategic AI research direction.

Skills

Reinforcement Learning

Research Leadership

Python

Communication

Education

PhD or MS in CS/AI

Tools

TensorFlow

PyTorch

JAX

Job description

About the Role

Our client, WhatJobs Direct, a leader in the AI & Emerging Technologies sector, is revolutionizing the field and is actively seeking a highly accomplished Senior AI Research Scientist with a specialization in Reinforcement Learning (RL). This is a fully remote position, offering you the flexibility to work from anywhere while contributing to groundbreaking AI advancements. You will be at the forefront of RL research, developing novel algorithms and applications that push the boundaries of autonomous systems, robotics, and complex decision-making processes. Join a world-class team dedicated to solving some of the most challenging problems in artificial intelligence, from the comfort of your chosen location.

Key Responsibilities

• Conduct fundamental and applied research in Reinforcement Learning, exploring new algorithms, theories, and methodologies.


• Design, implement, and evaluate advanced RL models for complex real-world problems.


• Collaborate with a global team of researchers and engineers to integrate RL solutions into various applications.


• Publish research findings in top-tier AI conferences and journals.


• Develop and maintain high-quality code for RL experiments and simulations.


• Mentor junior researchers and contribute to the intellectual leadership of the team.


• Stay current with the latest advancements in RL, machine learning, and related fields through continuous learning and exploration.


• Contribute to the strategic direction of the company's AI research initiatives.

Requirements

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline.


• Extensive research experience and a strong publication record in Reinforcement Learning.


• Deep theoretical understanding of RL concepts, including value-based methods, policy-based methods, actor-critic architectures, and multi-agent RL.


• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.


• Experience with simulation environments and deploying RL agents in real-world settings is highly desirable.


• Excellent analytical, problem-solving, and algorithmic thinking skills.


• Strong communication and collaboration skills, with the ability to work effectively in a remote, distributed team.


• Proven ability to lead research projects and drive innovation.


• Experience with related fields like control theory or optimization is a plus.

Benefits

• Highly competitive salary and performance-based bonuses.


• Comprehensive health and wellness benefits.


• Generous professional development budget for conferences, courses, and research materials.


• Fully remote work environment offering flexibility and work-life balance.


• Opportunity to work on cutting-edge research with significant impact.


• Collaborative and intellectually stimulating culture with leading experts in AI.