Research Intern - Machine Learning and Deep Learning

About Aqemia

Aqemia is a next-generation pharmaceutical company generating one of the fastest drug discovery pipelines in the world. Our mission is to develop groundbreaking, fast-acting drug candidates for scores of severe diseases. What sets us apart is our proprietary quantum mechanical and statistical algorithms that power generative artificial intelligence to design new drug candidates.

The velocity and precision of our technology platform allows us to scale drug discovery projects as technology projects.

We’ve grown to a team of over 45 highly motivated and spirited individuals standing at the intersection of Chemistry, Machine Learning, Physics, and Software Engineering.

We are proud to announce that we've raised $12 million from leading VCs.

If this sounds exciting to you, come and join us!

Research Intern - Machine Learning and Deep Learning

The difference you’ll make

We’re looking for an ML research intern to join our team and make an impact on a critical challenge: discovering drug candidates to cure key diseases. You will work in an interdisciplinary environment with drug hunters, physicists, chemists and ML engineers.

Internship should last at least 4-6 months, and can start anytime from September 2022.

What You’ll Do:

As a research intern, you will explore in depth a particular topic, all the way from literature review to testing your approach on proprietary data. We are willing to discuss the choice of the topic so that it best fits your expertise, but it could include : 

  • Generation of molecules in a constrained chemical space.
  • Development of interpretable predictors of molecular properties. 
  • Multi Constraint Optimization strategies to generate molecules that satisfy several criteria.
  • Representation learning on molecules : unsupervised or semi-supervised techniques to learn embeddings of molecules. 
  • Active learning strategies to decide when to acquire new data or to use model prediction. 


  • You are a Masters student in Computer Science or applied mathematics. 
  • Ideally with hands-on experience in representation learning, generative models, reinforcement learning. 
  • Interest for complex data such as graphs, text, 3D objects / point-clouds. 
  • Interest for unsupervised learning, low-data tasks and active learning. 
  • With experience in reading academic papers and exercising critical thinking on results.

Nice to have:

  • Basic knowledge in biology and chemistry is a strong plus, but it is not required.

Our Workplace Environment

  • Fast-paced, intellectually and scientifically demanding, results-driven.
  • Our Founders boast
  • 10+ years experience in research at Ecole Normale Supérieure in Paris, not to mention a stint in Oxford and Cambridge.
  • 10+ years experience in strategy consulting at BCG.
  • Aqemia has a rapidly growing team of +40 people from world-class institutions (AstraZeneca, GSK, Sanofi, Harvard, Ecole Normale Supérieure, Ecole Polytechnique, BCG)
  • Our premises are conveniently located in center of Paris (1 Bd Pasteur), with a possibility of up to 2 days of remote work.
  • Working language: English

Should you wish to apply for this position please send us your resume at

We are growing fast, if you feel that you don't fit this job description but you’re still excited to join, then please get in touch! 

Aqemia is an Equal Employment Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender perception or identity, national origin, age, marital status, disability status or any other basis under applicable law.