Senior Research Engineer (Reinforcement Learning)

Requirements

• Several years of professional experience in AI Research, Applied AI/ML or Mathematical Optimization and / or track record of leading AI teams and large-scale projects
• 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) Several years of professional experience in Reinforcement Learning and / or dealing with combinatorial optimization problems
• (Desirable) Hands-on experience in high-performance computing environments (Kubernetes, Ray etc.)
• (Desirable) Experience in pre-sales and business development
• (Desirable) Domain expertise in the industries of Supply Chain, Manufacturing, Aviation, Energy

What the job involves

• 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

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