We are seeking highly motivated and experienced RL Engineers to join our team. The ideal candidate will have a strong background in Python programming and a deep understanding of machine learning and reinforcement learning techniques.

• Develop novel reinforcement learning algorithms to solve complex, real-world problems
• Prototype new methods and help transition successful prototypes into deployed solutions
• Collaborate with cross-functional teams (Data Science, Engineering, Product) to integrate and deploy RL models in production
• Conduct thorough evaluations of model performance using appropriate experimental design and statistical analysis
• Keep up to date with the latest developments in the field and identify opportunities to apply new research
• Write clean, maintainable, and well-documented code
• Troubleshoot and debug complex software issues
• Participate in code reviews and ensure the code quality of your team

• A Master’s or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience
• Strong proficiency in Python programming language and experience with popular machine learning libraries
• Experience with reinforcement learning, specifically with OpenAI Gym
• Knowledge of cybersecurity principles, tools, and techniques
• Experience with container-based environments considered a plus
• Exceptional analytical, conceptual, and problem-solving abilities
• Excellent oral presentation and technical writing skills (English)
• Ability to work independently as well as part of a team
• Motivated and self-driving personnel

• Familiarity with cloud computing platforms such as AWS or Azure
• Experience with DevOps practices and CI/CD pipelines
• Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Elasticsearch
• Experience with Kubernetes and Ansible
• Familiarity with Kafka and Terraform

• Highly competitive salary reviewed upwards on a regular basis
• Working from home: Hit your goals from the comfort of your home because we value performance, not the place
• Participation in state-of-the-art project and tech challenges and participation in large-scale projects
• Personal and professional development, amongst industry experts and talented people
• Continuous learning, having access to board resources
• Onboarding plan and training so that you have a smooth induction and feel confident and ready to take over your new role
• Equipment support so you have all the tools to do effectively and efficiently your work
• No dress code as we want you to be as comfortable as possible

This is a full-time position with competitive salary and benefits. If you have a passion for reinforcement learning and are looking for an exciting opportunity to work with cutting-edge technology, we would love to hear from you!

Note: All applications will be treated with strict confidentiality.

To apply, please click the below button or send us your CV at [email protected]