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Who we are 👩‍💻 👨‍💻

The drug discovery process is too slow. One of the key roadblocks lies in synthesis planning — designing how to make a molecule selected as a potential drug candidate. We are on a mission to speed up the drug discovery process by rapidly designing reliable synthesis pathways using artificial intelligence. In other words, we tell chemists how to make molecules they want to make.

We have already developed one of the best synthesis planning tools on the markets. To build on this success, we have recently set up our high-throughput organic chemistry laboratory to close the loop between data and our machine learning models. Because of this, we have a unique opportunity to leverage the real laboratory data to improve the AI that tackles chemistry. We are constantly innovating - you can read more about our work in these papers.

If you want to join a world-class team in applying state-of-the-art technology to make the drug discovery process faster, this offer is for you.

What can you expect? 🧭

As a machine learning engineer, your responsibilities will include:

• Implementing and deploying state-of-the-art machine learning and artificial intelligence solutions.
• Developing new solutions in the nascent field of AI for scientific applications. This will require a scientific but practical mindset: following the latest literature, communicating clearly your results, picking the best solution based on limited information and in collaboration with the organic chemistry team, and potentially publishing some of your results as papers.
• Learning basic organic chemistry concepts and collaborating closely with our organic chemists.
• Jointly contributing to and extending our machine learning codebase. We treat MLOps seriously.
• Contributing to the shape of our long-term strategy and the direction in which we develop our product. We take pride in making sure everyone's voice is heard, planning together our quarter and yearly goals (we use the OKR methodology).

You will be reporting to our Head of Machine Learning and work along with our machine learning team. Your role will be uniquely interdisciplinary. As such, you will also likely regularly discuss and interact with our Chief Technology Officer and the Business Development team to align your work with the broader drug discovery context and customer needs.

Your profile 👤

As an ideal candidate, you should have: