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Research Software Engineer - Foundation Models for Science Hursley
Job description
IBM has launched a number of Discovery Accelerators globally to increase the rate at which we discover solutions to our scientific challenges. This isn’t about working faster, this is about taking advantage of the convergence of AI, Cloud, and Quantum Computing. Within the UK we launched the Hartree National Centre for Digital Innovation (HNCDI) with the UK’s Science and Technology Facilities Council. The goal for this Discovery Accelerator is to solve some of the most ambitious problems in science, business, and society, deploying high-performance Computing, AI, Quantum Computing, and Hybrid Cloud from IBM Research. The centre is fuelling collaborations across industries and research ecosystems in fields as diverse as life sciences, environmental sustainability, and material science.
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.
About Business Unit
Your Life @ IBM
Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
About IBM
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
Location Statement
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