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. J
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
- S./Ph.D. degree in Computer Science, Machine Learning or related field.
- Experience using Deep Learning frameworks like 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, and Ray (distribution on clusters of CPUs and accelerators) Experience with DevOps and cloud technologies GCP, Docker, and Kubernetes.
NICE-TO-HAVES
- 2–5 years' experience in Reinforcement Learning, Computer Vision, or Natural Language Processing experience.
- Structural biology or molecular dynamics experience.
- Published scientific papers in domains in relation to Artificial Intelligence and/or BioInformatics