AI Algorithm Developer - Reinforcement Learning

Placements24; East London; Hybrid; ZAR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work

Health insurance

Retirement plan

Paid time off

Job summary

Placements24 seeks an AI Algorithm Developer specializing in Reinforcement Learning in East London, Eastern Cape. You will design, implement, and optimize RL algorithms to power intelligent systems, collaborating with a world-class R&D team.

The role requires a strong RL theoretical foundation, Python proficiency, and experience with TensorFlow or PyTorch. Hybrid work and ample opportunities for conferences and advanced research await.

Qualifications

• Master's or PhD with RL specialization.
• 3+ years of experience developing RL algorithms.
• Strong mathematical background in calculus, linear algebra, probability.

Responsibilities

• Research, design, and implement advanced RL algorithms.
• Develop and optimize RL agents for robotics, games, and control.
• Conduct experiments to evaluate performance and scalability.
• Collaborate with researchers and engineers to integrate RL solutions.
• Stay updated with RL and deep learning research trends.
• Translate theory into practical, robust code.
• Document findings and experimental results clearly.

Skills

RL fundamentals

Python programming

Analytical thinking

Independent work

Team collaboration

Education

Master's or PhD in CS/AI/ML (RL specialization)

Tools

TensorFlow

PyTorch

Gym

Stable Baselines

Job description

About the Role

Our client, a vanguard in AI & Emerging Technologies, is actively seeking a talented AI Algorithm Developer specializing in Reinforcement Learning to join their advanced research and development team in East London, Eastern Cape . This role is critical for designing, implementing, and optimizing novel reinforcement learning algorithms that will power the next generation of intelligent systems. You will delve into complex decision-making processes, explore state-of-the-art RL techniques, and apply them to challenging real-world problems. The ideal candidate possesses a strong theoretical foundation in RL, practical coding skills, and a passion for pushing the boundaries of AI. You will collaborate with a world-class team in a stimulating environment that encourages innovation and scientific rigor. This is an exceptional opportunity to contribute to groundbreaking work in artificial intelligence, based in East London .

Key Responsibilities

• Research, design, and implement advanced Reinforcement Learning (RL) algorithms.
• Develop and optimize RL agents for various applications, including robotics, game playing, and control systems.
• Conduct rigorous experiments to evaluate algorithm performance and scalability.
• Collaborate with other researchers and engineers to integrate RL solutions into larger systems.
• Stay updated with the latest academic research and industry trends in RL and deep learning.
• Translate theoretical concepts into practical, efficient, and robust code.
• Document research findings, algorithmic designs, and experimental results clearly.

Requirements

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Reinforcement Learning.
• Proven experience (3+ years) in developing and implementing RL algorithms.
• Strong understanding of RL fundamentals, including value-based methods, policy-based methods, and actor-critic architectures.
• Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
• Experience with simulation environments and RL libraries (e.g., Gym, Stable Baselines).
• Solid mathematical background in calculus, linear algebra, and probability.
• Excellent analytical, problem-solving, and programming skills.
• Ability to work both independently and collaboratively in a research-driven team.

Benefits

• Our client offers a competitive salary, performance-based bonuses, and a comprehensive benefits package including health insurance, retirement contributions, and generous paid time off.
• We provide a supportive hybrid work environment that fosters collaboration and innovation, allowing for a healthy work-life balance.
• Opportunities for professional growth include access to cutting-edge research, further training, and attendance at leading AI conferences.
• This role is based in our East London office, offering the chance to work on transformative AI projects and build a rewarding career in a key sector.