Senior Machine Learning Engineer

About the team you’ll join
We are looking for a Senior Machine Learning Engineer 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 report directly to Nicolas Canoui, manager of the Portfolio team, who has a strong background in data and engineering. Feel free to engage with him on LinkedIn!
You will join a team of 8 Machine Learning Engineers and work directly with partners on projects while developing cutting-edge methods to solve difficult problems.

Your role as a Senior Machine Learning Engineer 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 tea
• 4 - Cultural fit interview with our co-founder and Emmanuelle
• 5 - Final interview with our co-founder and CEO Maximilien

About us
We work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team.- Our approach is completely unique in the industry, using AI & deep physics to discover new drugs- We are a team of +50 people from world-class institutions (AstraZeneca, GSK, Sanofi, Harvard, Ecole Normale Supérieure, Ecole Polytechnique, BCG...) and nationalities (working language is English).- Our founders boast : 10+ years of research experience at the Ecole Normale Supérieure in Paris, not to mention a stint at Oxford and Cambridge / 10+ years of strategy consulting experience at BCG.- We are part of the French Tech 2030 programme (https://lafrenchtech.com/fr/la-france-aide-les-startup/french-tech-2030/).- We have recently signed a $140m contract with Sanofi to accelerate their drug discovery.- 2 Series A fundraising of up to 60M€.
What can we offer- A competitive salary and BSPCE policy- Hybrid remote working policy: 2 days/week can be worked remotely- Nice office in Paris, Pasteur's area- Alan mutuelle, Swile lunch card- Transport contribution: green participation if you come by bike