ML Research Engineer
Skills
Computer ScienceData ScienceDatasetsDeep LearningLinear AlgebraMachine LearningModeling And Simulation
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong software engineering skills with quick coding ability and code quality standards adherence
- Comfortable with linear algebra and statistics
- Experienced in applying both traditional ML techniques and deep learning to real-world problems
- Able to reason from first principles instead of only pattern matching
- Interested in learning about machine learning, biochemistry, and drug development
Day to day
- Drive speed and accuracy improvements in our ML platform by modifying 2D and 3D graph neural network architectures and implementing them in PyTorch
- Keep up with deep learning research on graph neural nets and graph generative models, prototyping ideas from the literature
- Dive deep into molecular datasets to create optimal train, validation, and test sets
- Develop creative 2D and 3D molecular featurizations inspired by physics and chemistry to enhance data usage
- Work closely with software engineers and medicinal chemists to make our ML platform adaptive to various use cases