Machine Learning Engineer
Tunis
Engineering (All Teams) – Engineering /
Permanent /
Hybrid
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.
Join us to be a part of the AI revolution!
Are you a Machine Learning Engineer focused on gathering information and generating knowledge on AI using both theoretical and experimental means?
If so then keep reading….
As a Machine Learning 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 to 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 Machine Learning 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 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.
- At least 1 year 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
Our commitment to our people
We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.
Right to work: Please note that you will require the legal right to work in the location you are applying for.
