AI Research Scientist - Reinforcement Learning

Placements24; LegKraal Gate; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Competitive compensation

Health insurance

Retirement plan

Training & conference opportunities

Job summary

Placements24 seeks an AI Research Scientist specialized in reinforcement learning to push the boundaries of intelligent systems. You will conduct cutting-edge RL research, develop new algorithms, and validate them in simulations and real-world experiments, while collaborating with engineers to deploy solutions.

The ideal candidate has a PhD in CS/AI, a strong publication record, and expertise in Python with TensorFlow or PyTorch. Join a team driving impactful AI innovations in South Africa.

Qualifications

• PhD in Computer Science, AI, or related field with strong RL focus.
• Publication record in RL.
• Deep understanding of RL concepts (Q-learning, policy gradients, deep RL).
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Ray RLlib).
• Experience with simulations and optimization techniques.

Responsibilities

• Conduct cutting-edge RL research and applications.
• Develop and implement novel RL algorithms and frameworks.
• Design simulations and real-world experiments to validate RL strategies.
• Collaborate with engineers to deploy RL solutions.
• Analyze results and provide insights for model improvement.
• Publish findings in top AI conferences and journals.
• Stay updated on RL and ML advancements.
• Mentor junior researchers and contribute to knowledge base.
• Contribute to strategic RL research direction within the company.

Skills

Reinforcement Learning

Q-learning

Policy gradients

Deep RL

Python programming

Research skills

Analytical thinking

Communication

Teamwork

Education

Ph.D. in Computer Science / AI or related field

Tools

TensorFlow

PyTorch

Ray RLlib

Simulation environments

Distributed computing

Job description

About the Role

Our client, a leader in AI & Emerging Technologies, is seeking a highly skilled AI Research Scientist with a specialization in Reinforcement Learning (RL). This role offers the exciting prospect of contributing to advanced research and development projects aimed at creating intelligent systems capable of learning and decision-making in complex environments. You will join a collaborative team of experts dedicated to pushing the boundaries of AI. This position provides a unique opportunity to work on challenging, impactful problems at the forefront of artificial intelligence.

Key Responsibilities

• Conduct cutting-edge research in reinforcement learning theory and applications.
• Develop and implement novel RL algorithms and frameworks.
• Design and conduct simulations and real-world experiments to validate RL strategies.
• Collaborate with engineers to integrate RL solutions into practical applications.
• Analyze experimental results and provide insights for model improvement.
• Publish research findings in top-tier AI conferences and journals.
• Stay abreast of the latest advancements and trends in RL and machine learning.
• Mentor junior researchers and contribute to the team's knowledge base.
• Contribute to the strategic direction of RL research within the company.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong focus on Reinforcement Learning.
• Proven track record of research in RL, evidenced by publications.
• Deep understanding of RL concepts such as Q-learning, policy gradients, and deep RL.
• Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Ray RLlib).
• Experience with simulation environments and optimization techniques.
• Strong analytical and mathematical skills.
• Excellent problem-solving abilities and research creativity.
• Effective communication and teamwork skills.
• Experience with large-scale data analysis and distributed computing is desirable.

Benefits

Our client offers a competitive salary and bonus structure, alongside a comprehensive benefits package including health, retirement, and wellness programs. We support continuous professional development through training, conference attendance, and research opportunities. Join an innovative and collaborative environment in Mahikeng, North West , and make a significant impact on the future of AI through pioneering research.