AI Research Engineer - Reinforcement Learning

Placements24; Bloemfontein; Hybride; ZAR 1 976 000 - 2 964 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health, dental, and vision insurance

Generous paid time off

Conference attendance support

State-of-the-art research infra

Remote work flexibility

Collaborative research environment

Résumé du poste

Placements24 seeks a brilliant AI Research Engineer specializing in Reinforcement Learning to advance cutting-edge AI applications. This fully remote role invites you to design, implement, and evaluate novel RL algorithms for real-world challenges, collaborating with a global team of researchers and engineers.

You will publish findings, contribute to open research, and mentor junior researchers while maintaining scalable training environments and efficient simulations using Python, TensorFlow,

Qualifications

• Ph.D. or Master’s degree in CS/AI/Robotics with RL focus.
• Proven experience designing and testing RL algorithms (Q-learning, Policy Gradients, Actor-Critic).
• Strong Python skills and use of NumPy/SciPy; experience with TensorFlow or PyTorch.
• Familiarity with RL libraries and simulators: OpenAI Gym, Stable Baselines, RLlib.
• Solid understanding of ML basics, deep learning, and statistics.
• Ability to conduct rigorous research and publish results.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication for remote collaboration.
• Ability to work independently and meet deadlines in a remote setting.
• Experience with distributed systems and HPC is a plus.

Responsabilités

• Conduct RL research and develop novel algorithms.
• Design, implement, and test RL agents for robotics, games, optimization, and control systems.
• Collaborate with researchers and engineers to integrate RL solutions into larger AI systems and products.
• Analyze experimental results, draw meaningful conclusions, and iterate on algorithms.
• Stay abreast of latest RL research and industry trends.
• Contribute to publication of research findings in top-tier conferences and journals.
• Develop and maintain scalable RL training environments and frameworks.
• Optimize RL algorithms for performance and efficiency on available hardware.
• Document research methodologies, code, and experimental findings thoroughly.
• Mentor junior researchers and interns, fostering a collaborative learning environment.

Connaissances

Reinforcement Learning

Python programming

Analytical thinking

Remote collaboration

Formation

PhD or Master’s in CS/AI/Robotics with RL focus

Outils

NumPy

SciPy

TensorFlow

PyTorch

OpenAI Gym

Stable Baselines

RLlib

Description du poste

About the Role

Our client, a prominent player in the AI & Emerging Technologies arena, is seeking a brilliant AI Research Engineer with a specialization in Reinforcement Learning (RL) to join their forward-thinking team. This role is instrumental in pushing the boundaries of AI by developing and implementing novel RL algorithms for complex real-world applications. You will be part of an innovative research group focused on creating intelligent systems capable of learning and adapting in dynamic environments. This is a fully remote position, offering the flexibility to work from any location and collaborate with a global team of experts. You will have the opportunity to contribute to groundbreaking projects, publish research, and influence the direction of AI development at our client. The ideal candidate possesses a deep theoretical understanding of RL, coupled with strong practical engineering skills and a passion for scientific exploration. We are looking for individuals driven by curiosity and a desire to solve challenging problems through advanced AI techniques.

Key Responsibilities

• Conduct research and development in Reinforcement Learning, exploring novel algorithms and methodologies.
• Design, implement, and test RL agents for various applications, including robotics, game playing, optimization, and control systems.
• Collaborate with other researchers and engineers to integrate RL solutions into larger AI systems and products.
• Analyze experimental results, draw meaningful conclusions, and iterate on algorithms and implementations.
• Stay abreast of the latest academic research and industry trends in RL and related fields.
• Contribute to the publication of research findings in top-tier conferences and journals.
• Develop and maintain efficient and scalable RL training environments and frameworks.
• Optimize RL algorithms for performance and efficiency on available hardware.
• Document research methodologies, code, and experimental findings thoroughly.
• Mentor junior researchers and interns, fostering a collaborative learning environment.

Requirements

• Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a closely related field with a focus on Reinforcement Learning.
• Proven experience in designing, implementing, and experimenting with Reinforcement Learning algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods).
• Strong programming skills in Python, with experience in scientific computing libraries (e.g., NumPy, SciPy) and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with RL libraries and simulators (e.g., OpenAI Gym, Stable Baselines, RLlib).
• Solid understanding of machine learning principles, deep learning, and statistical modeling.
• Ability to conduct rigorous scientific research and publish findings.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills, effective for remote collaboration.
• Ability to work independently, manage time effectively, and meet project deadlines in a remote setting.
• Experience with distributed systems and high-performance computing is a plus.
• A proactive and curious mindset with a passion for pushing the frontiers of AI.

Benefits

• Highly competitive salary and potential for research-based bonuses.
• Comprehensive benefits package including health, dental, and vision insurance.
• Generous paid time off and flexible working hours.
• Significant opportunities for professional growth, including conference attendance and publication support.
• Access to state-of-the-art research infrastructure and computational resources.
• A stimulating research environment with opportunities to work on cutting-edge AI problems.
• Full remote work flexibility, allowing you to work from your preferred location.
• Collaborate with world-class researchers and engineers on challenging AI projects.