Machine Learning Engineer, Machine Learning and Computational Biology

Overview

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!

Job Description

InstaDeep is looking for Machine Learning Engineers to join our Research Team in London, working at the intersection of machine learning and life sciences. Our in-house Research Team aims to build foundational… expertise and develops the next-generation in of deep learning technolgies for life science applications; for example, generative models for protein sequence and structure, protein structure prediction and inverse folding, ML-enhanced molecular dynamics, learning meaningul representations from proteomics datasets, and more. This necessarily requires expertise not just in machine learning, but also in the curation of experimental data and computational modelling techniques such as homology modelling, molecular dynamics with classical force fields, quantum chemistry calculations with density functional theory.

As a Machine Learning Engineer, you will work closely with our Research Scientists and Engineers to support our ambitious research agenda.

Responsibilities
• Lead the engineering components of long-term research projects encompassing all stages of the project lifecycle. Responsibilities include data generation pipelines, database management, development and maintenance of codebases, as well as the design and execution of analysis pipelines and reporting mechanisms.
• Collaborate closely with the core ML and engineering team to integrate and optimise cutting-edge methodologies for the distribution and scaling of large-scale (billion parameter plus) ML models.
• Align with engineering leads across other critical projects to improve standardisation and methodological best practices across the company.
• Develop and maintain robust, high-quality software solutions. Ensure code is modular, well-documented, and integrates smoothly with continuous integration systems. Work in collaboration with Research Scientists, Engineers, and technical leads from various projects to uphold high coding standards and foster standardisation and methodological best practices across the Research Team.
• Deploy machine learning models and associated processes across large-scale, distributed computing infrastructures, including CPUs, GPUs, and TPUs, utilising both in-house and cloud-based platforms.
• Manage the efficient, reproducible, and performant handling of complex, multi-modal biological data. This includes optimising data generation, storage, and retrieval processes, particularly through advanced database management systems like SQL.
• Actively contribute to the team’s research initiatives, including publishing results and participating in open-source projects.
• Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing.

Requirements
• Masters-level degree in Computational Science, Machine Learning or a related scientific field.
• Experience using Deep Learning frameworks like PyTorch, Tensorflow and/or Jax.
• Strong software engineering experience (Object-Oriented Programming, Unit Testing, Profiling, CI, Docker) via previous work or contributions to open-source projects.
• Excellent communication skills and collaborative spirit.

Desirables
• Experience in professional research teams; either industrial or through PhD/post-doctoral positions.
• Experience with computational biology or molecular dynamics.
• Published scientific papers in related domains such as ML or bioinformatics.

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

Company:

InstaDeep

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Academia, Machine Learning, NLP, United Kingdom