Research Engineer Intern

Key Skills

Data Analysis, Deep Learning, Effective communication skills, JAX framework, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. We have created an environment that ensures a challenge by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that’s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In our mission to stay ahead of the curve, we are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA and Intel, and world-class universities such as MIT, Oxford, UCL, and Imperial College London.

We are also an NVIDIA Elite Service Delivery Partner and Google Cloud Partner. In InstaDeep’s BioAI department, we advance healthcare and push the boundaries of medical science through a combination of expertise in biology and machine learning. We launched a portfolio of initiatives across drug discovery and design, protein engineering, etc. In Dec. 2020, InstaDeep released DeepChain, an AI-powered, cloud-native, GPU-accelerated platform for protein design. Its core functionalities are built on a proven optimisation framework leveraging state-of-the-art search algorithms and protein language models. Another key research area is the development of next-generation vaccines and biopharmaceuticals for the treatment of cancer and the prevention and therapy of infectious diseases, including COVID-19.

As a Research Engineer Intern, you’ll be a part of the BioAI team. In collaboration with research engineers and computational biologists, you will be contributing to the development of new approaches in molecular modelling, protein interactions, protein designs and other related domains, by applying your technical, analytical, and research skills. You will understand the underlying bioinformatics and business problems and follow the latest developments in both machine learning and biology to identify and harness the right technologies to solve the problems, improve the existing solutions and take part in the commercial deployment of their solution.

You will collaborate with a multi-functional team, experiment with different approaches, analyse and communicate the results, in order to deliver proof of concepts, minimum viable products, and ensure continuous improvement and maintenance for industrialised solutions. You will also be responsible for writing high-quality, maintainable, well-documented, and modular software libraries.

Keywords: Machine Learning, Deep Learning, Language Models, Graph Neural Networks, Computational Biology, Protein Design, Protein Engineering, Statistics, Data Analysis, High-Performance Computing

The Research Engineer Intern will have the following responsibilities:

• Design, implement and deliver complex pieces of research and engineering as part of a multi-functional Clinical Engineering team.
• Implement and evaluate cutting-edge machine learning algorithms over healthcare data.
• Manipulate and evaluate large and complex medical datasets with privacy constraints.
• Continuously improve our algorithms and approaches.
• Report and present development work clearly and effectively

Requirements:

• Undergraduate degree in Computer Science, Mathematics or a related scientific field.
• Currently enrolled in a M.S./Ph.D. program in one of the fields above. (End-of-studies/master’s thesis internship for M.S. level)
• Work permit for full time employment in France.
• Knowledge of Deep Learning for NLP (RNN, Transformer)
• Experience in developing and debugging in Python in an OOP fashion.
• Experience using deep learning frameworks such as PyTorch, Tensorflow, Jax.
• Research and software engineering experience demonstrated via previous work experience, internships, contributions to open source projects, or coding competitions.
• Proficiency with Git workflow and development with best coding practices.
• Excellent communication skills in English.
• Available for at least 5 months, ideally 6.