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, Lagos, 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 an AI Software Engineer willing to contribute with AI Research Engineers from different teams?
If so then keep reading...
The AI Software Engineer must accomplish the following:
- Design and develop our internal and open-source libraries for deep learning and reinforcement learning.
- Design and implement systems for high-performance computing and for training large models at scale on hardware accelerators like GPUs and TPUs Write high-quality, maintainable, and modular software libraries and work side-by-side with our researchers and engineers.
- Directly influence InstaDeep’s engineering culture and help scale our research to best leverage our hardware capacities.
- Mentor junior engineers and help drive efforts to reach the Frameworks team’s objectives.
Who you are:
- A passionate engineer with a solid background in algorithms, data structures, and distributed systems.
- You are proficient in one or more modern programming languages (Python, C++, Java)
- You have experience with at least one popular deep learning framework (JAX, PyTorch, or Tensorflow).
- Proficiency with Git workflow or similar development with best coding practices.
- Software engineering experience demonstrated via contributions to open source, work experience, or coding competitions
- You have strong analytical skills and can formulate a logical approach to problem-solving and planning your work.
- Experience with DevOps and cloud technologies (GCP, Docker, Kubernetes)
- Strong communication skills and experience collaborating with researchers and developers
In addition, the following would be an advantage:
- Experience with high-performance computing methodologies.
- Experience with code vectorisation and parallelisation in JAX.
- Understanding of modern deep learning methods such as Transformer models, Reinforcement Learning, Meta-Learning, or Population Based Training.
- Understanding and experience with MLOps practices and public cloud environments (GCP, AWS, Azure).
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.
