Reinforcement Learning Researcher

London Full-time £60,000 - £80,000 / Year
(£5,000 - £6,667 / Month)

Job Description

We are seeking a passionate Reinforcement Learning Researcher to join our dynamic AI team. The ideal candidate will have a strong background in machine learning and reinforcement learning, and will work on developing innovative AI solutions that address real-world problems.

Responsibilities

  • Design experiments to test new reinforcement learning models.
  • Collaborate with software engineers to deploy models in production.
  • Work closely with data scientists to preprocess and analyze data.
  • Present research findings to stakeholders and at conferences.
  • Contribute to open-source AI projects and community initiatives.

Requirements

Education
  • Ph.D. in Computer Science, Artificial Intelligence, or related field
  • Master's degree with relevant experience will also be considered
Experience
  • 3+ years of experience in AI research, specifically in reinforcement learning
Technical Skills
  • Python
  • TensorFlow
  • Reinforcement Learning
  • Machine Learning
  • Data Analysis
Soft Skills
  • Critical Thinking
  • Effective Communication
  • Teamwork
Certifications
  • AWS Certified Machine Learning
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with natural language processing (NLP): Knowledge of NLP techniques and their application in AI systems.
  • Collaborative experience on interdisciplinary projects: Ability to work synergistically with teams from different tech domains.

Benefits

  • Annual company retreats and team-building activities
  • Employee wellness initiatives and support
  • Generous leave policies including parental leave
  • Access to the latest technology and tools

Company Culture

  • Collaborative Spirit: Teamwork and collaboration are at the heart of our success, and we value open communication.
  • Agile Mindset: We embrace agility in our approach, adapting to changes quickly and efficiently.
  • Impact Focused: Our work is driven by the desire to make a meaningful impact in the tech community and beyond.
Status: Closed