<div>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 Europes 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.</div><div><br /></div><div>Join us to be a part of the AI revolution!</div><div><br /></div><div><b>ROLE RESPONSIBILITIES</b></div><div>Support the efforts of the Science team through the development of novel methods and applications under the guidance of our Research Scientists and Engineers.</div><div>Design and implement experiments for proof of concept and benchmarking.</div><div>Contribute to team research and publications.</div><div>Report and present experimental results and research findings, both internally and externally, verbally and in writing.</div><div>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.</div><div><br /></div><div><b>REQUIREMENTS:</b></div><div>Currently enrolled in a PhD programme (or recent MSc graduate) in a related STEM discipline</div><div>Theoretical and practical knowledge in machine learning and deep learning, including experience with a deep learning framework such as Jax, PyTorch or Tensorflow.</div><div>Excellent communication skills and collaborative spirit.</div><div>Relevant experience in the application of deep learning to life science applications is highly desirable. Specific experience in any of the following domains is a plus but not essential;</div><div> - Structural biology (e.g. protein structure prediction)</div><div> - Protein language models</div><div> - Drug discovery</div><div> - Molecular dynamics</div><div> - Protein-protein interactions</div><div> - Methods for handling 3D structural data, such as Graph Neural Networks.</div><div> - Generative ML models</div><div>Work permit for SA for the duration of the internship.</div><div><b>Our commitment to our people</b></div><div>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 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.</div><div><br /></div><div><b>Right to work:</b> Please note that you will require the legal right to work without visa sponsorship in the location you are applying for. We do not sponsor work visas.</div>

InstaDeep

Research Engineer Intern

InstaDeep

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