Research Software Engineer – Foundation Models for Science

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Job Description

IBM Research, in the UK, is seeking high calibre candidates with a proven track record in applied research and development, to work on research that makes a difference. We offer a stimulating research environment comprising multi-disciplinary teams with diverse expertise working on challenging projects in a world-class research organization. We have access to cutting-edge experimental environments and strong ties with industrial, national, and academic research labs around the globe. You will want to be part of a team that is making a difference on how we can accelerate discovery using advanced technology.

Your Role and Responsibilities

The work location for this role is either Daresbury Labs or Hursley Labs for a minimum of 3 days a week (inclusive of Tuesdays and Thursdays).

Foundation models are transforming what we think of as possible in a wide range of areas. This role will be part of a team investigating the use of foundational models (FMs) into science. Key questions that you might be looking to answer are:

  • How do we deploy FMs in such a way to maximise impact for scientific users?
  • How do we optimize the utilisation of FMs with, for example, simulation workflows
  • How do we integrate FM training and inference into wider-scope computational scientific workflows

Key outputs of this role are readily reusable software stacks, exciting real-world demonstrators and feedback into our existing FM research areas.

Required Technical and Professional Expertise

  • A knowledge of key concepts in the FM literature, and expertise in building and deploying them for real-world examples.
  • A knowledge of cloud technologies, specifically Kubernetes and expertise in leveraging them for large-scale AI or FM workloads.
  • Ability to identify fundamental problems from real-world cloud use-cases and to design, build and validate successful cloud-focused solutions.
  • Ability to demonstrate and evaluate systems/software via experimental method, particularly through hands-on creation of prototypes.
  • For example configuring large-scale server/networking/storage infrastructures; deploying research prototypes within production-grade HPC/Cloud infrastructures; deep contribution or ownership of an opensource cloud middleware framework.
  • Strong communication skills and the ability to collaborate effectively within local team
  • Excellent command of the English language, both verbal and written

Preferred Technical and Professional Expertise

  • Expertise and experience in deep learning applied to physical science problems, with a particular focus on chemistry and materials science.
  • Strong contribution record with either publications in top peer-reviewed scientific conferences and journals or strong leadership track-record in opens source communities, with a particular focus on foundation models for science, or large scale machine learning models for science.
  • Track record in being part of highly collaborative teams to tackle important problems which produce high impact solutions.

Company Info.


IBM is a leading cloud platform and cognitive solutions company. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 290,000 employees serving clients in 177 countries. IBM Research provides unparalleled insight into business, industry and society by leveraging advanced computing architectures and methodologies to solve some of the world’s most pressing challenges.

  • Industry
    Information Technology,Computer software,Computer hardware
  • No. of Employees
  • Location
    New Orchard Road, Armonk, New York, NY 10504, USA
  • Website
  • Jobs Posted

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