Research Engineer

Key Skills

C++, CUDA/GPU programming, GPUs, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town, and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. We have created an environment that ensures to challenge you by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that’s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In our mission to stay ahead of the curve, we are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA Elite Service Delivery Partner, Google Cloud Partner, and Intel, and world-class universities as MIT, Oxford, UCL, and Imperial College London. 

Are you a Research Engineer focused on gathering information and generating knowledge on AI using both theoretical and experimental means?

If so then keep reading…. 

As a Research Engineer, your goal is to develop and implement novel ideas while building simple and sustainable software solutions. Among the tasks an RE is responsible for, it is important mention: developing prototype applications, providing software design and programming support to research projects, and implementing software libraries.

In this role, at InstaDeep you will report to Senior Product Lead. This role may require overseas travel.

The Research Engineer must accomplish the following:

• Develop novel algorithms and research ideas in fields such as machine learning, deep learning, and reinforcement learning.
• Bridge the gap between the research and products by integrating new fundamental research into applied projects.
• Collaborate with the Engineering team to design and run experiments, including developing and evaluating new algorithms and implementing known ones.
• Design and implement algorithms to best leverage modern hardware and distributed computing systems (CPUs, GPUs, TPUs, Cloud, etc.).
• Write and maintain high-quality, maintainable, and modular code with concise documentation and tests together with researchers and engineers.
• Report and present experimental results and research findings clearly and efficiently, both internally and externally, verbally and in writing. 

Who you are 

• MSc/PhD degree in Computer Science or a related scientific field.
• 2+ years of professional experience in AI or similar fields
• Experience in developing and debugging in C/C++, Python or similar languages.
• Experience using deep learning frameworks such as PyTorch, Tensorflow and/or Keras.
• Experience with storage systems, distributed systems, HPC, compilers, and/or CUDA programming is a plus.
• Research and software engineer experience demonstrated via an internship, contributions to open source, work experience or coding competitions. 
• Excellent communication skills and collaboration with researchers and developers.