Job Description

Advance the science: Design and run experiments, define and validate metrics, and develop ML pipelines and models in areas like encoder-decoder models, cross-encoder models. You will also experiment with SLMs + model distillation to bring the power of Language models optimized for focused ranking tasks within low latency constraints. This is a strategic initiative and you are expected to drive this by working with different leaders across the org to drive clarity and alignment. You will be working with large scale data and derive insights out of it while championing Privacy and Compliance. Drive product innovation: Partner with Engineering, PM, and Design to translate product vision and industry trends into scalable, reliable, and agile architecture. You are expected to drive long term road-maps and provide clarity and recommendations for critical investment areas for the org. As a principal you are expected to work and influence leaders in the org as well as potentially cross-org. Champion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter. Lead and mentor: As a Principal Scientist you are expected role model deep technical expertise, generate energy towards goals, drive clarity in ambiguous situations and champion cross group/org collaboration. You would also mentor junior scientists and engineers and scale your learnings across the broader product group. Define success: You will also help define best practices in Model evaluation and work with leaders in the org to establish and improve the process. Stay ahead: Keep up with the latest research and foster a thriving applied science culture. Publishing is encouraged, though not required. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 3+ years of Python coding skill. These requirements include but are not limited to the following specialized security screenings: Experience in building large scale embedding based models and their applications.

Skills Required