• Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas. • Mentor and guide junior engineers, fostering a culture of learning and technical excellence. • Work with large and complex textual and visual datasets. • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services. • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types. • Productionize and automate model pipelines within Python services. • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.