Key skills
AWSCloudGoogle Cloud PlatformOpen SourcePythonPyTorchTensorflowMachine LearningMLTensorFlowLangChainGCPGoogle Cloud
About this role
Role Overview
- Perform exploratory data analysis and feature engineering on vast quantities of data
- Train ML models using the latest ML frameworks
- Work with the engineering team to integrate research outcomes into the product portfolio
- Present the work to broad audiences from academic to industry
Requirements
- PhD in Machine Learning, Data Science, Computer Science, Physics or related field with a strong focus on Machine Learning and Life Sciences or Finance
- Strong experience in Python, and ML frameworks such as Huggingface Transformers, LangChain, Tensorflow or PyTorch
- Successful research track record in the field of ML
- Experience building foundational models
- Experience contributing to open source projects
- Experience with cloud computing platforms (e.g., GCP, AWS)
- Experience in the life sciences and/or finance is a plus, but not essential
Tech Stack
- AWS
- Cloud
- Google Cloud Platform
- Open Source
- Python
- PyTorch
- Tensorflow
Benefits
- Competitive, equitable, and transparent compensation
- Sponsored training and professional development