Senior Research Engineer, Machine Learning for Biology
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In this role at InstaDeep, you will report to the Research Lead. You will assist in developing or designing new products and technology to improve existing technical processes, machines and systems and create new, innovative technologies.
Responsibilities
As a Research Engineer in Science, you'll be a part of the research department. The Research Engineer in Science must accomplish the following: Collaborate with other researchers and experts to develop machine‑learning methods for problems in computational biology. Assist research scientists in implementing and testing novel research ideas. Contribute to the design and implementation of models, tools and libraries to accelerate our research effort. Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments. Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing. Contribute to the team's publication efforts. Bridge the gap between the research and product teams by integrating new fundamental research into applied projects.
Requirements
- 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 or similar languages.
- Ability to understand, replicate and adapt to industrial standards research works. 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). Excellent communication skills and collaborative spirit.
Nice to Haves
- 2-5 years experience in Reinforcement Learning, Computer Vision, or Natural Language Processing.
- Structural biology or molecular dynamics experience.
- Published scientific papers in domains related to Artificial Intelligence and/or Bioinformatics.
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