Research Engineer Intern, Applied Reinforcement Learning (DeepPack)

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. 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. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.
Join us to be a part of the AI revolution!
Role description
You will be working with one of our Research and Development teams that applies state-of-the art reinforcement learning methods to our in-house product DeepPack, a real-world application of the bin-packing problem. You have the choice to work on research as well as RL engineering focused projects, on a wide range of topics. You will follow the latest developments in ML/RL to identify and harness the approaches best suited to the team’s problems, and leverage your technical, analytical, and research skills to develop and improve our cutting edge ML/RL algorithms.
Internship duration: 6 months

Role responsibilities

• Support the efforts of the Applied Engineering team through the development of novel methods and applications under the guidance of our Research Engineers.
• Design and implement ML and RL methods to improve our products.
• Contribute to team research and potentially publications.
• Report and present experimental results and research findings, both internally and externally, verbally and in writing.
• Write high-quality, maintainable, well-documented, and modular python code.

Requirements

• Currently enrolled in a Masters programme (or recent graduate) in a related STEM discipline.
• Theoretical and practical knowledge in machine learning and deep learning, including experience with a deep learning framework such as Jax, PyTorch and/or Tensorflow.
• Knowledge in, and ideally experience with reinforcement learning.
• Excellent communication skills and collaborative spirit.
• Good programming skills in Python.
• Work permit for the UK for the duration of the internship.
• This internship requires the candidate to be present 5 days per week.

Our commitment to our peopleWe 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 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.