Machine Learning Engineer - job 1 of 2

ABOUT INSTADEEP

InstaDeep Ltd is a leading company that develops cutting-edge artificial intelligence products and solutions for major global and local clients in Europe, the US, Africa, and the Middle East. We focus on developing enterprise decision making systems that solve existing problems across a range of industries using advanced machine learning, reinforcement learning, and deep learning. Our expertise spans across research, product and solution development, 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 high-quality clients, ensures a challenging and exciting environment to work and thrive in. In our mission to stay ahead of the curve, we are proud to partner with firms such as Google DeepMind, Nvidia and Intel, and world-class universities such as Oxford, University of Michigan and French Universities.

Our research team publishes advanced research on reinforcement learning in top AI conferences such as NeurIPS and collaborates with world-leading researchers and companies.

From Q2 2022, InstaDeep is expanding in the United States. With this aim, InstaDeep is looking for a ML Software/DevOps Engineer to support the development of its US activities.

JOB DESCRIPTION

In this role at InstaDeep you will report to the Research Lead. You will design and create the algorithms capable of learning and making predictions that define machine learning.

KEY RESPONSIBILITIES

• Design, implement and deliver performant and scalable machine learning libraries.
• Perform computationally intensive tasks with large and complex data using distributed computing systems (CPUs, GPUs, TPUs, Cloud, etc.).
• Write and maintain high-quality, maintainable and modular code with concise documentation and continuous integration together with research scientists and engineers.
• Contribute to the design and implementation of models, tools and libraries to accelerate our research effort.
• Bridge the gap between the research and product teams by integrating new fundamental research into applied projects.

SKILLS AND EXPERIENCE

• M.S./Ph.D. degree in Computer Science, Machine Learning or related field.
  
• Experience using Deep Learning frameworks such as PyTorch, Tensorflow and/or Jax.
• Experience in developing and debugging in Python3 and in at least one other compiled language (e.g. C++).
• Strong Software engineering experience (Object-Oriented Programming, Unit Testing, Profiling, CI, Docker) via previous work or contributions to open source projects.
• Experience with high-performance computing methods and frameworks such as MPI, Ray (distribution on clusters of CPUs and accelerators)
• Experience with DevOps and cloud technologies GCP, Docker, Kubernetes.

NICE-TO-HAVES

• 2-5 years’ experience

• Reinforcement Learning, Computer Vision, or Natural Language Processing experience.
• Structural biology or molecular dynamics experience.
• Published scientific papers in domains in relation with Artificial Intelligence and/or BioInformatics

Right to work in the United States is mandatory.