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Machine Learning Software Engineer

Postée le 07 juin

Lieu : Paris · Contrat : CDI · Rémunération : A négocier

Société : Instadeep

InstaDeep Ltd is a leading EMEA company that develops cutting-edge artificial intelligence products and solutions for major global and local clients in Europe, the US, the Middle-East and Africa. We focus on developing enterprise software systems that solve existing problems across a range of industries using advanced machine learning, deep learning and deep reinforcement learning. Our expertise spans across AI research and engineering, high-performance computing and visualisation, allowing the whole end-to-end solution to be developed in-house across our teams in London, Paris, Lagos, Tunis, Dubai and Cape Town.

Our proactive approach to research, combined with a broad spectrum of clients, ensures a challenging and motivating environment to work and thrive in. In our mission to stay ahead of the curve, we are proud to partner with organisations such as Google DeepMind, Nvidia and Intel, and world-class universities including Oxford University.

Description du poste

Your job is to design and develop InstaDeep in-house machine learning workflow and research platform. By doing so, you will enable our research and engineering teams to deliver new products, services and research breakthroughs that were previously out of reach. You will work with researchers to understand their needs and explore potential solutions, implementing what’s needed to achieve higher computational performance.

Profil recherché


Designing and developing our in-house Machine Learning libraries
Implementing various approaches for high-performance and distributed computing on InstaDeep infrastructure.
Write high-quality, maintainable and modular software libraries and work side by side with our researchers and engineers

Qualifications and Experience

Degree in computer science
Strong in object-oriented design Python coding skills
Experience in contributing, maintaining and/or building open source projects
Experience with profiling tools (GPU, CPU, Memory, Garbage collection)
Experience in parallel and high performance computing
Experience with DevOps and cloud technologies GCP, Docker, Kubernetes
Strong communication skills and collaboration with researchers and developers

Nice to Have

Basic knowledge on machine learning and reinforcement learning
Experience with AutoGrad libraries such as Tensorflow, Jax and/or PyTorch.


Competitive salary.
Working in small, diverse teams where you can make an impact.
Varied challenges across industries.
Cooperation across European and Overseas offices

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