Senior AI/ML Researcher - Reinforcement Learning

Placements24; Sandton; Híbrido; ZAR 1.200.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Conference attendance support

Descripción de la vacante

Placements24 is seeking a Senior AI/ML Researcher with a focus on Reinforcement Learning to join its advanced research division in Sandton, Gauteng. The role blends independent theoretical work with collaborative development in a hybrid setup, fostering innovation and scientific excellence.

The candidate will conduct pioneering RL research, publish findings, mentor juniors, and contribute to strategic AI initiatives, working with leading experts in a stimulating environment.

Formación

• Ph.D. or Master’s degree in Computer Science, AI, ML or related field.
• Proven track record of RL research, with publications in leading venues.

Responsabilidades

• Conduct cutting-edge RL/DRL research and develop novel algorithms.
• Design, implement, evaluate RL methods for complex decision problems.
• Develop and train RL agents for robotics, games, and autonomous systems.
• Collaborate with engineering teams to translate research into products.

Conocimientos

Python

Deep Learning

Reinforcement Learning

Q-learning

Policy Gradients

Actor-Critic

Research Publications

Educación

Ph.D. or Master’s in CS/AI/ML

Herramientas

Stable Baselines

Ray RLlib

TensorFlow

PyTorch

Keras

Descripción del empleo

About the Role

Our client is seeking an accomplished Senior AI/ML Researcher with a specialization in Reinforcement Learning (RL) to join their advanced research division. This role is pivotal in driving innovation and developing next-generation AI capabilities. You will conduct pioneering research, design novel algorithms, and contribute to the scientific community in the exciting field of RL. The position is based in the bustling economic hub of Sandton, Gauteng , offering a stimulating environment to collaborate with leading experts. The hybrid work model provides flexibility, blending focused independent research with essential team collaboration, fostering a productive and innovative atmosphere in Sandton, Gauteng .

Key Responsibilities

• Conduct cutting-edge research in reinforcement learning, deep reinforcement learning, and related areas.
• Design, implement, and evaluate novel RL algorithms for complex decision-making problems.
• Develop and train RL agents for applications in areas such as robotics, game playing, and autonomous systems.
• Collaborate with engineering teams to translate research prototypes into practical applications.
• Publish research findings in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR).
• Stay abreast of the latest advancements in RL and the broader AI/ML landscape.
• Mentor junior researchers and interns, fostering a culture of scientific excellence.
• Contribute to the strategic direction of AI research initiatives.
• Develop benchmarks and evaluation methodologies for RL algorithms.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research excellence in reinforcement learning, demonstrated through publications in leading venues.
• Strong theoretical and practical understanding of RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods).
• Proficiency in Python and deep learning libraries such as TensorFlow, PyTorch, or Keras.
• Experience with RL libraries (e.g., Stable Baselines, Ray RLlib) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills, with the ability to articulate complex research ideas.
• Ability to work independently and collaboratively within a research team in Sandton, Gauteng .
• Experience with distributed systems and high-performance computing is advantageous.

Benefits

• Our client offers a highly competitive salary, comprehensive health insurance, and a generous research and development budget.
• Employees benefit from ample paid time off, significant opportunities for professional growth, including conference attendance and further education.
• This role in Sandton, Gauteng provides a unique platform to conduct impactful research at the forefront of AI.
• The hybrid work arrangement supports a healthy work-life balance, allowing for both deep focus and collaborative synergy.