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 Scientist 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 team 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. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research). These requirements include but are not limited to the following specialized security screenings: Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Experience in building large scale embedding based models and their applications.
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