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Role: Computational Chemist

 

AI Developer at a Canadian Material Discovery Startup.

Job Type: Full-Time

 

About Us

 

Xatoms is an innovative Canadian startup from the University of Toronto at the intersection of AI, quantum chemistry, and material discovery. Our mission is to revolutionize water purification technology, focusing on creating advanced, eco-friendly solutions for global water challenges. At Xatoms, we harness the power of cutting-edge quantum chemistry simulations and AI algorithms to innovate new materials capable of purifying polluted water. We are backed by AWS, UNESCO, IRCAI (International Research Center of AI), and 776 Climate Fellowship. 

 

Position Scope

 

We're looking for passionate and skilled individuals to join our dynamic team. In this role, you'll have the opportunity to work on pioneering projects that redefine the capabilities of AI in material discovery. You'll enjoy a flexible, remote work environment that offers both freedom and responsibility. Our ideal candidate is someone deeply invested in using technology for environmental good, and eager to push the boundaries of AI and material science.

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Earnings

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  • Depending on your level of expertise

 

About the Opportunity

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  • Cutting-edge projects: Work on innovative projects at the forefront of AI and quantum chemistry.

  • Flexibility: Choose your own work hours, tailoring your schedule for optimal productivity.

  • Professional development: Deepen your domain expertise while contributing to meaningful change.

  • Collaborative work culture: Be part of a supportive team that shares your commitment to innovation and sustainability.

  • Duration and Location: Engage in variable project lengths with flexible hours, all from the convenience of remote work.


 

Responsibilities

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  • Developing, training, and refining machine learning models for material discovery.

  • Evaluating the accuracy and relevance of AI-generated molecules.

  • Ensuring the factuality and contextual relevance of AI-produced molecule designs.

  • Supporting ongoing R&D efforts in innovative experiments and process optimization

  • Work with a diverse team of scientists seeking to gain scientific understanding at the molecular level, as well as to put this fundamental knowledge to use in real-world 


 

Basic Qualifications

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  • The most preferred qualification is Computational Chemist with experience in catalysts. 

  • However, individuals with MS/PhD/Bachelor's degrees in Computer Science, Computer Engineering, Materials Engineering, or a related technical field, or equivalent practical experience would work as well.

  • Industry experience in Machine Learning, Graph Neural Networks (GNNs), Transformers, ConvNets, Density Functional Theory (DFT), Computational Chemistry, or similar fields.

  • A track record of contributing to novel methods in state-of-the-art Deep Learning, including large-scale, Graph Neural Nets, etc.

  • 2+ years of experience on machine learning teams, ideally in a startup environment.

  • Ability to understand business problems and build models that drive value quickly, while prioritizing research efforts accordingly.

  • Skill in clearly communicating modeling setup and results at various levels of abstraction.

  • Knowledge of chemistry principles and methods, with the capability to interpret results and communicate effectively.

  • Good problem-solving skills, innovative thinking, and adherence to product development processes.

  • Strong communication and quantitative skills.

  • Minimum B2 Level of English capacity. 

  • Coding expertise in Python and Pythorch. 

 

Nice to Have

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  • Experience working with Amazon Web Services (AWS) solutions.

  • Knowledge of High Performance Computing (HPC) clusters.

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Apply Here​​

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https://forms.gle/nqi4wK7ry3aULyK1A

 
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