Senior Research Engineer

We are aiming to develop artificial intelligence that mass-produces inventions with offices in London and Tokyo. We are currently focused on the life sciences domain, developing and commercialising molecular-specific foundation models to realise new drug and enzyme discovery through AI.

• Appropriate design of evaluation methods based on task-specific understanding of metric properties
• Hypothesis proposal, development implementation and performance validation of machine learning models for compound information
• Proposal and creation of features according to data and purpose.
• MLOps, implementation of distributed computing environments
• Training machine learning models, exploring and adding data to be used for inference
• Search for relevant papers, application and validation of concepts

• Empathy with mission, vision and values
• 6+ years' experience working as a software/machine learning engineer
• 5+ years' experience as a Machine Learning Engineer
• 4+ years' experience as a Deep Learning engineer
• Experience in developing GNN or generative models or Geometric Deep Learning
• At least 2 publications as first author in international conferences/ journals
• Experience in continuous delivery of machine learning models to the business
• Leadership experience in developing a team of 4 or more people
• Ability to formulate and specify mathematical algorithms
• High level of communication skills in English (e.g. TOEIC 850+ approx.)

• PhD in computer science, mathematics, physics or related field
• Experience in cheminformatics, bioinformatics or related fields
• Experience in distributed computing/high performance computing
• Practical experience as a data scientist
• Kaggle Master or Ground master