Remote Machine Learning Engineer - Reinforcement Learning

Placements24; Stellenbosch; Hybrid; ZAR 1,497,000 - 2,329,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Health insurance

Professional development budget

Generous leave

Home office stipend

State-of-the-art compute resources

Job summary

Placements24 is seeking a Remote Machine Learning Engineer specializing in Reinforcement Learning to drive cutting-edge RL projects from a remote setup. You will design, implement, and optimize RL algorithms for complex decision-making tasks across multiple domains while collaborating with a global team of researchers and engineers.

The role demands a strong theoretical foundation in RL and hands-on experience with Python and ML libraries.

Qualifications

• Master's or PhD in Computer Science, AI, Robotics or related quantitative field focusing on reinforcement learning.
• Minimum 3 years hands-on experience developing and implementing RL algorithms.
• Strong theoretical understanding of RL concepts (Q-learning, Policy Gradients, Deep RL).
• Proficiency in Python and ML/RL libraries (TensorFlow, PyTorch, Stable Baselines).
• Experience with simulation environments like OpenAI Gym, MuJoCo is highly desirable.

Responsibilities

• Design, develop and implement advanced reinforcement learning algorithms and agents.
• Train and evaluate RL models using simulations and real-world data.
• Develop environments and tools for testing and validating RL algorithms.
• Collaborate with researchers and engineers to explore novel RL techniques.
• Optimize RL algorithms for performance, scalability and efficiency.
• Integrate RL solutions into existing systems and product pipelines.
• Stay updated on the latest RL research and developments.
• Write high-quality, well-documented, testable code.
• Analyze results and provide insights and recommendations.
• Contribute to team knowledge base and best practices in RL.

Skills

Reinforcement Learning

Python

ML libraries

RL frameworks

Problem solving

Education

Master's or PhD in CS/AI/Robotics

Tools

TensorFlow

PyTorch

Stable Baselines

OpenAI Gym

MuJoCo

Job description

About the Role

Our client is seeking a highly motivated Remote Machine Learning Engineer with a specialization in Reinforcement Learning (RL) to join their pioneering AI research and development team. This is a fully remote position, offering you the flexibility to work from your preferred location. You will be instrumental in designing, implementing, and optimizing RL algorithms for complex decision-making problems across various domains. The ideal candidate will have a deep theoretical understanding of RL principles and practical experience in applying them to real-world challenges, such as robotics, game playing, or optimization systems. This is an exceptional opportunity to work on cutting-edge RL projects in a collaborative, remote-first environment, pushing the boundaries of AI capabilities and contributing to transformative technological advancements. You will be part of a dynamic team dedicated to solving challenging problems through innovative algorithmic approaches.

Key Responsibilities

• Design, develop, and implement advanced reinforcement learning algorithms and agents.


• Train and evaluate RL models using simulations and real-world data.


• Develop environments and tools for testing and validating RL algorithms.


• Collaborate with research scientists and engineers to explore and implement novel RL techniques.


• Optimize RL algorithms for performance, scalability, and efficiency.


• Integrate RL solutions into existing systems and product pipelines.


• Stay abreast of the latest research and developments in reinforcement learning and related AI fields.


• Write high-quality, well-documented, and testable code.


• Analyze and interpret experimental results, providing insights and recommendations.


• Contribute to the team's knowledge base and best practices in RL development.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field, with a focus on Reinforcement Learning.


• Minimum of 3 years of hands‑on experience in developing and implementing RL algorithms.


• Strong theoretical understanding of RL concepts (e.g., Q‑learning, Policy Gradients, Deep RL).


• Proficiency in Python and relevant ML/RL libraries (e.g., TensorFlow, PyTorch, Stable Baselines).


• Experience with simulation environments (e.g., OpenAI Gym, MuJoCo) is highly desirable.


• Solid understanding of machine learning principles and software engineering best practices.


• Experience with data analysis and visualization tools.


• Strong problem‑solving, analytical, and critical thinking skills.


• Excellent communication and collaboration skills for effective remote teamwork.


• Familiarity with cloud computing platforms is a plus.

Benefits

• Fully remote work arrangement with flexible scheduling.


• Highly competitive salary and performance-based bonuses.


• Comprehensive health, dental, and vision insurance.


• Generous budget for professional development, including conferences and training.


• Opportunity to work on intellectually stimulating and impactful RL projects.


• Collaborative and supportive remote team environment.


• Generous annual leave and personal time off.


• Retirement savings plan.


• Home office setup stipend.


• Access to state-of-the- computational resources.