Research Intern in Science (Quantum Machine Learning)

Key Skills

Deep Learning, Effective communication skills, JAX framework, Machine learning techniques, Python Programming

Job Description

InstaDeep Ltd 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. Leveraging its extensive know-how in GPU-accelerated computing, deep learning and AI-enhanced bioinformatics, InstaDeep 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. InstaDeep has also developed collaborations with global leaders in the Artificial intelligence ecosystem, such as Google DeepMind, Nvidia and BioNTech.

InstaDeep is offering for Research Internships within our Science team in London, specialising in the application of machine learning to the life sciences. Applications such as drug discovery, have been transformed by the power of machine learning, and we are dedicated to leading this charge through our in-house Research Team. Our mission is to develop the next generation of cutting-edge deep learning models across a broad spectrum of areas, with specific examples including protein structure prediction, generative models for structure and sequence, molecular dynamics, protein-protein interactions, and more.

At InstaDeep, we have always been committed to solving the world's most challenging and high-impact problems through innovative approaches. As a Research Intern, you will work closely with our Research Scientists and Research Engineers to help deliver on our ambitious goals. Our experience is that, with the right support, a collaborative attitude and a passion for research, interns can make significant contributions during their time with us, and as such are treated as full-time employees from day one. Our approach encourages collaboration across all groups within the company, leading to ambitious breakthroughs at the forefront of AI research.

ROLE RESPONSIBILITIES

• Support the efforts of the Science team through the development of novel methods and applications under the guidance of our Research Scientists and Engineers.
• Design and implement experiments for proof of concept and benchmarking.
• Contribute to team research and publications.
• 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.
• Theoretical and practical knowledge in machine learning and deep learning, including experience with a deep learning framework such as Jax, PyTorch and/or Tensorflow.
• Excellent communication skills and collaborative spirit.
• Relevant experience in the application of deep learning to life science applications is a highly desirable. Specific experience in any of the following domains is a plus but not essential;
• Structural biology (e.g. protein structure prediction)
• Protein language models
• Drug discovery
• Molecular dynamics
• Protein-protein interactions
• Methods for handling 3D structural data, such as Graph Neural Networks.
• Generative ML models