About the team you’ll join
We are looking for a Machine Learning Applied Scientist to develop neural network architectures and algorithms to design new drug molecules and simulate their binding to human proteins, guided by our proprietary affinity calculations.
You will join a team of 8 Machine Learning Applied scientists and work directly with partners on projects while developing cutting-edge methods to solve difficult problems.
Your role as a Machine Learning Applied Scientist at Aqemia
- Work in tech projects aiming at making our technology faster, more precise, more scalable and more generalizable.
- Work in drug discovery projects with chemists to design better molecules
- Work and code collaboratively in a fast-paced project team
- Share and spread good practices in deep learning systems design and evaluation, deployment and monitoring of ML models…
- Test and benchmark your newly implemented methods on internal drug discovery projects
- Leverage feedbacks from experiments to identify possible improvements in the pipeline
The competencies we are looking for
- You have 5+ years of experience in Python, and extensive knowledge of Pytorch or Tensorflow.
- You have experience in Deep Learning, ideally on complex and large datasets (e.g., biomedical imaging, graph-structured data, physics simulations), in a production environment.
- You are comfortable coding in a team and have experience with Git, bash, and cluster computing or cloud providers. You like sharing good practices and you pay attention to small details that make a top quality codebase.
- You have basic knowledge and sincere interest in biology, physics and chemistry.
- You enjoy reading papers that make an impact, but you want to go beyond synthetic datasets and small-scale benchmarks, and apply them to solve real-world problems.
Preferred mindset
- You are a pragmatic person, choosing the most impacting method much more than the most fancy one.
- You are a proactive and thorough person, ready to work in a multidisciplinary team in which people with diverse backgrounds join their skills to solve complex physics and chemistry problems.
- You are eager to play an active role in contributing to Aqemia’s strategy to develop drugs for patients.
- You are anxious to bring your wealth of knowledge and skills to the table to inspire and coach brilliant people from diverse backgrounds.
- You are keen to solve tough problems on issues that truly matter, with a proactive and a can-do attitude.
- You thrive on working collaboratively in a fast-paced, interdisciplinary environment that keeps everyone on track.
Our recruitment process
- 1 - Hiring Manager’s interview : you’ll meet directly with your future manager Nicolas Canoui, Head of Platform
- 2 - Coding assessment with 1 expert in the team
- 3 - Machine Learning assessment with 1 expert in the team
- 4 - Cultural fit interview with our co-founder and Emmanuelle
- 5 - Final interview with our co-founder and CEO Maximilien
