AI Research Scientist - Reinforcement Learning

Placements24; Bloemfontein; Presencial; ZAR 1.200.000 - 2.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary with bonuses

Health, dental, and vision insurance

Generous paid time off

Conference/workshop funding

Access to high-end computing resources

Collaborative research environment

Career progression opportunities

Relocation assistance available

Pension fund contributions

Team events and networking

Descripción de la vacante

Placements24 is seeking an inventive AI Research Scientist with a focus on Reinforcement Learning to join its research division in Bloemfontein, Free State, ZA. You will develop novel RL algorithms for robotics, game AI, and autonomous systems, collaborating with world-class researchers and engineers.

You should hold a PhD or Master’s in CS/ML/AI, publish work or have major RL projects, and be proficient in Python with TensorFlow or PyTorch.

Formación

• Ph.D. or Master's in CS/ML/AI required.
• Publications or project work demonstrating RL expertise.
• Strong foundation in linear algebra, calculus, probability.
• Proficiency in Python and DL frameworks.
• Excellent analytical and collaboration skills.

Responsabilidades

• Conduct theoretical and applied RL research.
• Design, implement, and evaluate new RL algorithms.
• Develop and test RL agents for decision-making problems.
• Collaborate with engineers to integrate RL solutions into products.
• Analyze experimental results and guide future research.
• Publish findings in top AI conferences and journals.
• Stay current with RL, deep learning advancements.
• Mentor junior researchers and interns on RL projects.
• Contribute to IP through patents and publications.
• Present progress to internal teams and external stakeholders.

Conocimientos

Reinforcement Learning

Python

Deep Learning

Research Methods

Mathematics

Communication Skills

Independent Work

Educación

PhD or Master's in CS/ML/AI

Herramientas

TensorFlow

PyTorch

OpenAI Gym

MuJoCo

DeepMind Lab

Descripción del empleo

About the Role

Our client, a prominent player in the AI & Emerging Technologies landscape, is seeking an inventive AI Research Scientist with expertise in Reinforcement Learning (RL) to join their cutting-edge research division. This role, based in Bloemfontein, Free State, ZA , offers an exciting opportunity to contribute to groundbreaking research in areas such as robotics, game AI, and autonomous systems. You will be at the forefront of developing novel RL algorithms and applying them to solve complex, real-world challenges. We are looking for a highly motivated individual with a strong theoretical foundation and practical experience in RL, eager to collaborate with a team of world‑class researchers and engineers. This position is integral to advancing our client's leadership in artificial intelligence.

Key Responsibilities

• Conduct theoretical and applied research in Reinforcement Learning and related fields.
• Design, implement, and evaluate new RL algorithms and methodologies.
• Develop and test RL agents for complex decision-making problems.
• Collaborate with engineers to integrate RL solutions into existing or new products.
• Analyze experimental results and interpret findings to guide future research.
• Publish research findings in top-tier AI conferences and journals.
• Stay current with the latest advancements in RL, deep learning, and related areas.
• Mentor junior researchers and interns on RL projects.
• Contribute to the intellectual property portfolio through patents and publications.
• Present research progress and outcomes to internal teams and external stakeholders.

Requirements

• Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field.
• Demonstrated research experience in Reinforcement Learning (RL), Deep RL, or related areas, evidenced by publications or significant project work.
• Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of RL algorithms (e.g., Q-learning, policy gradients, actor-critic methods).
• Experience with RL simulation environments (e.g., OpenAI Gym, MuJoCo, DeepMind Lab).
• Solid grasp of machine learning fundamentals, mathematics (linear algebra, calculus, probability).
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills for effective teamwork.
• Ability to work independently on research projects and manage time effectively.
• Experience with distributed computing and large-scale experiments is a plus.

Benefits

• Highly competitive salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday schedule.
• Funding for professional development, including conference attendance and workshops.
• Access to powerful computing resources and state-of-the-art research facilities.
• A dynamic and collaborative research environment.
• Opportunities for career advancement and growth.
• Relocation assistance available.
• Pension fund contributions.
• Regular team events and opportunities for networking.