We are looking for candidates who are prepared to
- Report and present development work clearly and efficiently, both internally and externally (clients, different audiences, etc.), both verbally and in writing.
- Collaborate with the Research team to drive high-impact innovation by tackling previously unsolved problems with AI.
- Demonstrate a research-driven aptitude toward addressing yet unsolved problems on the frontier of AI and life sciences.
- Create solid and self-explanatory documentation.
- Develop scalable algorithms based on state-of-the-art machine learning and neural network methodologies.
- Be inspired and proud of your work.
REQUIREMENTS
- Undergraduate degree in Computer Science, Mathematics, or a related scientific field.
- Experience in developing and debugging with Python. Knowledge of C/C++, Jax, and other languages is a strong plus.
- Experience using deep learning frameworks such as PyTorch, Tensorflow, and/or Keras.
- Research and software engineering experience demonstrated via previous internships, contributions to open-source projects, or coding competitions.
- Proficiency with Git workflow, and development with best coding practices.
- Excellent written and verbal communication skills in English
Important dates
- The application deadline is the 3rd of November.
- The process will involve:
- CV screening
- Online assessment
- Onsite Technical Test.
- Onsite Interviews with ML engineers.
- Final decision will be sent beginning of December.
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