Research Scientist in Reinforcement Learning
Research Scientist in Reinforcement Learning - London, CitySalary - Competitive Salary + Excellent Benefits
Our client is a leading company that develops cutting-edge artificial intelligence solutions for major global and local clients in Europe, Middle East and Africa.
They focus on developing enterprise software solutions that solve existing problems across a range of industries using advanced machine learning, deep learning and deep reinforcement learning.
Their expertise spans across research, development, visualisation, and design, allowing the whole end-to-end solution to be developed in-house across our teams in London, Paris, Tunis, Lagos, Cape Town and Dubai.
Our client is seeking a Research Scientist in Reinforcement Learning to join our Research Team in London.
Research Scientists at the company lead their efforts in developing novel algorithmic architectures alongside their Research Engineers, to produce research that aims to be published in world-leading AI conferences and feed our AI-based solutions and products.
The company's approach encourages collaboration across all groups within the company, leading to ambitious breakthroughs at the forefront of AI research.
Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly in areas such as reinforcement learning, deep learning, computer perception, and natural language processing/understanding.
Develop novel algorithms and research ideas in fields of machine learning, deep learning and reinforcement learning.
Contribute to team research and publications.
Suggest and engage in team collaborations to meet Research Dept.
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.
Ph.D./Postgraduate degree in Computer Science or a related scientific field.
Experience leading a team 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.).
Working in small, diverse teams where you can make an impact.
Varied challenges across industries.
Important Information: We endeavour to process your personal data in a fair and transparent manner.
In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone or text message.
It is important you are aware of your individual rights and the provisions the company has put in place to protect your data.
If you would like further information on the policy or GDPR please contact us.
Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.
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