Applied Scientist II - Machine Learning

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 would also be working with Language models to understand user intent and developing a semantic search stack optimizing for the various search intents. 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. Champion customer impact: Engage with customers and internal teams to deeply understand pain points and drive improvements that matter. Define success: Measure success metrics that reflect platform and product growth. 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 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field. Bachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research). OR Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field) related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. 3+ years of Python coding skill.