Remote AI Engineer - Reinforcement Learning Specialist

Placements24; Rustenburg; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Flexible remote work

Competitive salary

Health benefits

Professional development support

Cloud computing resources

Job summary

Placements24 is seeking a remote AI Engineer specialized in Reinforcement Learning to join a globally distributed research team. You will design, implement, and optimize RL algorithms, develop simulation environments, and integrate agents into existing systems using Python.

The role offers autonomy and a competitive salary with opportunities to work on cutting-edge RL projects across industries, emphasizing collaboration, experimentation, and staying current with the latest advances.

Qualifications

• MSc/PhD in CS/AI/ML or related quantitative field with RL focus.
• Proven RL experience (Q-learning, Policy Gradients, Actor-Critic) in real problems.
• Strong Python skills with TensorFlow or PyTorch.
• Experience with RL libraries (OpenAI Gym, Stable Baselines3) is a plus.
• Strong mathematical and statistical background for ML.
• Ability to work independently in a remote setting.
• Excellent communication for virtual collaboration.

Responsibilities

• Design, implement, and evaluate RL algorithms and models.
• Develop simulation environments and integrate RL agents into existing systems.
• Conduct experiments to benchmark and optimize RL performance across tasks.
• Collaborate with a globally distributed AI team via remote tools.
• Stay current with RL research and advances.
• Contribute to the ML lifecycle: data prep, feature engineering, training, and deployment.
• Write clean, documented Python code.
• Present findings and progress to the team and stakeholders.
• Identify business use cases and apply RL to drive innovation.

Skills

Reinforcement Learning

Python

TensorFlow

PyTorch

OpenAI Gym

Stable Baselines3

Remote collaboration

Mathematics

Communication

Education

MSc or PhD in Computer Science / AI / ML / related field

Tools

Stable Baselines3

OpenAI Gym

Job description

About the Role

Our client, a pioneering force in AI research and development, is looking for a talented and dedicated Remote AI Engineer with a specialization in Reinforcement Learning (RL) to join their globally distributed team. This fully remote position offers the unique opportunity to contribute to cutting-edge projects that leverage RL to solve complex decision-making problems across various industries. You will be instrumental in designing, implementing, and optimizing RL algorithms, working on challenges that require sophisticated AI solutions. The ideal candidate is a proactive, self-driven individual with a deep theoretical understanding of RL and practical experience in applying these concepts to real-world scenarios. This role is perfect for an AI enthusiast who thrives in an autonomous, results-oriented environment and is passionate about advancing the frontiers of artificial intelligence.

Key Responsibilities

• Design, implement, and evaluate novel Reinforcement Learning algorithms and models.
• Develop simulation environments and integrate RL agents into existing systems.
• Conduct experiments to benchmark and optimize RL agent performance across diverse tasks.
• Collaborate with a remote team of AI researchers and engineers through virtual communication tools.
• Stay current with the latest research and advancements in Reinforcement Learning and related fields.
• Contribute to the entire ML lifecycle, including data preparation, feature engineering, model training, and deployment.
• Write clean, maintainable, and well-documented code in Python or other relevant languages.
• Present research findings and project progress to the team and stakeholders.
• Identify opportunities for applying RL to solve business challenges and drive innovation.

Requirements

• M.Sc. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong focus on Reinforcement Learning.
• Proven experience in applying RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods) to practical problems.
• Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
• Experience with RL libraries (e.g., OpenAI Gym, Stable Baselines3) is highly advantageous.
• Strong mathematical and statistical background relevant to machine learning.
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• Strong communication skills, with the ability to articulate technical concepts effectively in a virtual environment.
• Demonstrated ability to manage multiple tasks and prioritize effectively.

Benefits

This fully remote role offers exceptional flexibility and the opportunity to work from anywhere. Our client provides a highly competitive salary, comprehensive health and wellness benefits, and a generous annual bonus structure. Professional development is highly valued, with support for attending virtual conferences, online courses, and obtaining relevant certifications. Employees benefit from a collaborative and inclusive virtual work culture, regular team-building activities, and access to state-of-the-art cloud computing resources. Join a cutting-edge AI company and contribute to impactful projects while enjoying the freedom and autonomy of a remote career. This is an exciting opportunity to be at the forefront of RL innovation.