Research Engineer, InstaDeep

• Professional experience in AI Research, Applied AI/ML or Mathematical Optimization
• Proven experience in software development in Python, ideally in projects with codebases of production-grade quality, multiple contributors and version control
• Candidates must have the right to work in the UK. Visa sponsorship is not available for this role
• Attendance in the office for 3 days a week mandatory, we do not offer remote roles

Desirable

• The Applied AI team at InstaDeep creates optimization solutions for large scale real-world industrial problems
• Each solution is built to be ready for full production use by our clients and it is the Applied AI team that owns all stages of this lifecycle: Within Applied AI, Research Engineering builds the AI optimization systems, MLOps sets up the training and inference infrastructure and the Software teams build graphical user interfaces and API servers
• These teams work together to provide the end-to-end capabilities required to create scalable and high-performing optimization tools for the end user, all done 100% within InstaDeep
• Our work spreads across many industries - from Energy to Logistics to Production Optimization, there are plenty of interesting topics!
• Research Engineers at InstaDeep work closely with our clients to build a deep understanding of the use case and the constraints the operational experts face in their daily operations. One of the core responsibilities of a Research Engineer is then to translate this industrial knowledge into optimization problem statements
• On a daily basis, you will be working with your InstaDeep colleagues to brainstorm, prototype new research ideas and to iterate and improve on existing implementations by running large-scale experiments and deploying high-quality engineering. You will also have access to InstaDeep’s powerful compute resources (as of 2024 among the top 20 H100 GPU clusters), enabling you to efficiently train models and accelerate innovation
• There are also opportunities to engage in pre-sales activities and to support our Business Development team with your acquired unique combination of domain knowledge and AI expertise