• Lead Engineering Projects: Manage engineering aspects of research projects, covering data pipelines, database management, codebase development, analysis pipelines, and reporting. • Collaborate Across Teams: Work closely with Core ML and Engineering teams to integrate and optimize large-scale ML models. • Standardization & Best Practices: Align with engineering leads to enhance standardization and methodological practices. • Develop Robust Software Solutions: Ensure high-quality, modular, and well-documented code that integrates smoothly with CI systems. • Deploy ML Models: Implement models across distributed computing infrastructures, including cloud-based platforms. • Manage Biological Data: Optimize processes for handling complex, multi-modal biological data through advanced database systems. • Contribute to Research Initiatives: Participate in research projects, publish results, and engage in open-source contributions. • Report & Present Findings: Clearly communicate experimental results and research findings, both internally and externally.