This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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!
Job Responsibility:
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
Translate industrial knowledge into optimization problem statements
Work with 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
Engage in pre-sales activities and to support our Business Development team with your acquired unique combination of domain knowledge and AI expertise.
Requirements:
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.
Nice to have:
Professional experience in Reinforcement Learning and / or dealing with combinatorial optimization problems
Hands-on experience in high-performance computing environments (Kubernetes, Ray etc.)
Domain expertise in the industries of Supply Chain, Manufacturing, Aviation, Energy
What we offer:
Time to dedicate to personal development, as well as InstaDeep-provided education opportunities