Research Intern in Reinforcement Learning London, England
InstaDeep
Full Time
London, England
3250 GBP MONTHLY Today
Job description
Founded in 2014, InstaDeep, a leader in cutting-edge decision-making AI solutions, is revolutionising industries across the EMEA region. With offices strategically located in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep is at the forefront of the AI revolution.
At InstaDeep, we foster a culture of innovation and collaboration, empowering our talented team to tackle complex challenges using state-of-the-art technologies. By partnering closely with diverse enterprise clients, we consistently deliver groundbreaking solutions for the most intricate industrial problems.
Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. We have formed strategic partnerships with global giants like Google DeepMind and prestigious educational institutions such as MIT, Stanford, Oxford, UCL, and Imperial College London. These collaborations allow us to leverage an extensive network, driving continuous innovation and maintaining our competitive edge. As a Google Cloud Partner and one of a select few NVIDIA Elite Service Delivery Partners, we have established ourselves as trusted technical and implementation experts.
InstaDeep's excellence has been recognised consistently by industry experts. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Additionally, we secured a place on CB Insights' AI 100 ranking for three consecutive years. These accolades underscore our exceptional growth trajectory and position us alongside other renowned businesses in the industry.
Join us as we continue on our journey to transform industries, push the boundaries of AI innovation, and deliver unparalleled value to our clients.
ROLE RESPONSIBILITIES
Support the efforts of the Research Team through the development of novel methods and applications under the guidance of our Research Scientists and Engineers.
Contribute to team research and publications.
Bridge the gap between the research and engineering teams by contributing research that can be applied to InstaDeep’s 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 InstaDeep in conferences/events.
REQUIREMENTS
- Currently enrolled in a PhD programme (or recent graduate) in a related STEM discipline.
- Proven ability to contribute to research communities and/or efforts, including publishing scientific papers in leading journals or conferences (JMLR, ICLR, NeurIPS, ICML, GECCO, etc.).
- Excellent communication skills and collaborative spirit.
- Experience using deep learning frameworks such as PyTorch, Jax and/or Tensorflow.
- Work permit for the UK for the duration of the internship.
Our commitment to our people
We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.
Right to work: Please note that you will require the legal right to work in the location you are applying for.
If you have any further questions, please do not hesitate to contact us at: [email protected]
InstaDeep
www.instadeep.com
London, United Kingdom
Unknown / Non-Applicable
51 to 200 Employees
Company - Private
