Research Engineer
- Tokyo
- Partial Remote
- Full-time
- July 30, 2024
Job Description
We are an AI start-up with offices in London and Tokyo, aiming to develop artificial intelligence that mass-produces inventions. We are currently focused on the life sciences domain, developing and commercialising molecular-specific infrastructure models to realise new drug and enzyme discovery through AI.
- Hypothesis proposal, development implementation and performance validation of machine learning models dealing with molecular 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 Qualifications
- Empathy with mission, vision and values
- 4+ years' working experience as a software/machine learning engineer
- 3+ years' experience as a Machine Learning Engineer
- 2+ years working experience as a Deep Learning Engineer
- Experience in GNN or Generative Models or Geometric Deep Learning development
- Good communication skills in English (e.g. TOEIC 850+ approx.)
Preferred Qualifications
- 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
About SyntheticGestalt
SyntheticGestalt is an AI startup specializing in life sciences. Founded in London and Tokyo in 2018, they focus on drug and enzyme discovery using machine learning.
They're collaborating with research groups in prestigious universities in the UK and Japan, supported by large-scale grants. Their international team has people with backgrounds in entrepreneurship, pharmaceuticals, consulting and ML/AI.
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