Salary – Competitive Salary + Excellent Benefits
Our client is an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Tunis, Lagos, Dubai and Cape Town. With expertise in both machine intelligence research and practical business deployments, the Company provides a competitive advantage to its partners in an AI-first world. Leveraging its extensive know-how in GPU-accelerated computing, deep learning and reinforcement learning, the company has built products and solutions that tackle the most complex challenges across a range of industries. The firm’s hands-on approach to research, combined with a broad spectrum of clients, ensures an exciting and rewarding environment to work and thrive in. Our client has also developed collaborations with global leaders in the Artificial intelligence ecosystem, such as Google DeepMind, Nvidia and Intel.es.
The company is seeking a Research Intern in Reinforcement Learning to join our Research Team in London. Research interns at the company help the team to produce cutting-research that aims to be published in top AI conferences. The intern's goal is to develop, implement ideas to improve state-of-the-art reinforcement learning algorithms. This consists in building simple and sustainable software solutions that feed the AI-based solutions and products. The companys approach encourages collaboration across all groups within the company, leading to ambitious breakthroughs at the forefront of AI research.
Among the tasks they are responsible for: working on novel ideas, developing prototype applications, providing software design, implementing software libraries, writing research papers.
Develop novel algorithms and research ideas in fields of machine learning, deep learning and reinforcement learning.
Contribute to team research and publications.
Bridge the gap between the research and engineering teams by contributing research that can be applied to the companys products and solutions.
Report and present experimental results and research findings, both internally and externally, verbally and in writing.
Upon request, collaborate with other groups’ activities, including but not limited to presenting the company to new prospective clients, participating in calls and meetings, and representing the company in conferences/events.
Currently enrolled in a PhD programme (or recent graduate) in Computer Science, Reinforcement Learning or related field.
Experience in solving analytical problems using quantitative approaches.
Experience using deep learning frameworks such as Tensorflow, Pytorch, and/or Jax.
Proven ability to contribute to research communities and/or efforts, including publishing scientific papers at conferences (JMLR, ICLR, NeurIPS, ICML, GECCO, etc.).
Work permit for the UK for the duration of the internship.
Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.