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The average cost of developing a new drug is over $1 billion. A crucial aspect that impedes such research is the unpredictability of chemistry - it takes lots of human effort to figure out how to make a potential drug candidate.
Our mission at Molecule.one is to solve the unpredictability of chemistry by leveraging AI. We believe that by combining our state-of-the-art machine learning models with public and proprietary chemistry data, we can ultimately develop an AI Chemist - an AI agent that can autonomously complete tasks done by a chemist.
We have developed the first commercially available chemical synthesis planning software entirely based on deep learning models. We were also the first start-up from Central and Eastern Europe to debut on the TechCrunch Disrupt SF stage in 2019. In 2021, we have closed a funding round of 4.6M USD supported by top US & European investors.
In August 2023, we announced our strategic collaboration with CAS - the owner of the world’s largest database of chemical reactions - to develop the world’s best platform for Synthetic Accessibility Scoring, which allows evaluating how hard it would be to make a molecule in the lab and significantly reduce the number of required experiments. We also run our own HTE (High-Throughput Experimentation) chemistry laboratory, which allows us to perform and analyze chemical reactions with cutting-edge throughput, providing customized data to improve our AI models.
↗ Our hiring process consists of several stages. After each stage, we will either invite you to the next stage or discontinue the process. In the latter scenario, we will also give you feedback.
The whole recruitment process is conducted in English.
As the first part of the process, we ask you to send us your CV. After examining your CV, we will invite you to the first interview.
The first interview will last up to 30 minutes and take place online. During this interview, one of our team members will ask you a few questions about some basic Machine Learning theory.
After the first interview, we will send you a short programming assignment. This assignment should take at most a couple of hours to complete. We will ask you to send us the completed assignment within four days of receiving it.
After receiving and reviewing your programming assignment, we will invite you to the final interview. This interview can be conducted online or on-site in one of our offices, depending on your preference. The interview will last up to 90 minutes and involve some questions about your assignment solution, as well as more in-depth discussions about your experience in Machine Learning and software development.
Interested? Please reach out to us via email: ai.recruitment@molecule.one by 3/12/2024. We cant wait to meet you and discuss the great things we can achieve together! Please do not forget to add to your resume the following clause: I agree to the processing of personal data provided in this document for realizing the recruitment process pursuant to the Personal Data Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).
The average cost of developing a new drug is over $1 billion. A crucial aspect that impedes such research is the unpredictability of chemistry - it takes lots of human effort to figure out how to make a potential drug candidate.
Our mission at Molecule.one is to solve the unpredictability of chemistry by leveraging AI. We believe that by combining our state-of-the-art machine learning models with public and proprietary chemistry data, we can ultimately develop an AI Chemist - an AI agent that can autonomously complete tasks done by a chemist.
We have developed the first commercially available chemical synthesis planning software entirely based on deep learning models. We were also the first start-up from Central and Eastern Europe to debut on the TechCrunch Disrupt SF stage in 2019. In 2021, we have closed a funding round of 4.6M USD supported by top US & European investors.
In August 2023, we announced our strategic collaboration with CAS - the owner of the world’s largest database of chemical reactions - to develop the world’s best platform for Synthetic Accessibility Scoring, which allows evaluating how hard it would be to make a molecule in the lab and significantly reduce the number of required experiments. We also run our own HTE (High-Throughput Experimentation) chemistry laboratory, which allows us to perform and analyze chemical reactions with cutting-edge throughput, providing customized data to improve our AI models.
↗ Our hiring process consists of several stages. After each stage, we will either invite you to the next stage or discontinue the process. In the latter scenario, we will also give you feedback.
The whole recruitment process is conducted in English.
As the first part of the process, we ask you to send us your CV. After examining your CV, we will invite you to the first interview.
The first interview will last up to 30 minutes and take place online. During this interview, one of our team members will ask you a few questions about some basic Machine Learning theory.
After the first interview, we will send you a short programming assignment. This assignment should take at most a couple of hours to complete. We will ask you to send us the completed assignment within four days of receiving it.
After receiving and reviewing your programming assignment, we will invite you to the final interview. This interview can be conducted online or on-site in one of our offices, depending on your preference. The interview will last up to 90 minutes and involve some questions about your assignment solution, as well as more in-depth discussions about your experience in Machine Learning and software development.
Interested? Please reach out to us via email: ai.recruitment@molecule.one by 3/12/2024. We cant wait to meet you and discuss the great things we can achieve together! Please do not forget to add to your resume the following clause: I agree to the processing of personal data provided in this document for realizing the recruitment process pursuant to the Personal Data Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).
,[Designing and implementing ML pipelines for predicting outcomes of chemical reactions, based on the largest reaction database available, Developing our synthesis planning algorithm, Following and applying relevant literature and research in ML, Contributing regularly to our common codebase, Collaborating closely with other teams on moving ML models to production, Performing research on relevant topics. We regularly try to push the envelope of what is possible (including publishing twice SOTA results in reaction generation), You will report to our Head of Machine Learning and work within our Machine Learning team. Your work will be interdisciplinary and also involve interacting with chemists who evaluate our solutions. Requirements: Version control system, Testing, Object-oriented programming, Python, PyTorch, Cloud computing, AWS, Docker Tools: GIT. Additionally: Small teams, International projects, Equity package, 26 days of paid holidays for everyone, Sport subscription, Private healthcare, Free coffee, In-house trainings, In-house hack days, Modern office, Startup atmosphere, No dress code.