Responsibilities
- 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
Requirements
- 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
Nice to haves
While not specifically required, tell us if you have any of the following.
- 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
Compensation
8 to 10 million JPY annually.
