✨ About The Role
- The role involves collaborating on engineering projects with a diverse, global team of researchers and engineers.
- The candidate will develop scalable distributed systems to process and deploy datasets for machine learning.
- Responsibilities include processing large, unstructured, multi-modal data sources into formats suitable for machine learning.
- The position requires producing data visualizations and summaries to communicate data characteristics to researchers and leadership.
- The candidate will work with legal and trust teams to ensure compliant and ethical use of data.
âš¡ Requirements
- A successful candidate will have a BSc or MSc in Computer Science or equivalent industry experience.
- The ideal candidate will possess over 3 years of experience with software version control, unit tests, and deployment pipelines.
- Experience in data modeling, architecture, and processing skills with varied data representations is essential.
- Proficiency with cloud services and architectures, particularly AWS or Azure, is required.
- The candidate should have a strong understanding of relational and NoSQL databases.