Senior Machine Learning Engineer
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Overview
Job Description
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
Required Skills
- 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.)
Preferred Skills
- 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
Quick Facts
Submit your application for this role at SyntheticGestalt.