Senior Applied Sciences

Build benchmarks, evaluation datasets, metrics, and methods to assess and improve the performance and effectiveness of language models and prompts and drive iterative enhancements. Deliver high-impact analyses that generate actionable insights to steer product and business decisions and improve user satisfaction. Collaborate closely with engineering, research, product, and other teams to ensure AI-driven experiences meet quality and user experience standards. Analyze latest AI innovations and explore opportunities to apply cutting-edge techniques for building scalable, high-impact solutions that enhance product capabilities and deliver exceptional user experiences. Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate 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 equivalent experience. Hands-on experience with Large Language (LLMs), including evaluation techniques, prompt engineering, model fine-tuning/post-training. 3+ years of experience in applied science or machine learning, natural language processing (NLP), or AI systems. Proficiency in Python, C#, or similar languages. These requirements include but are not limited to the following specialized security screenings: Exceptional analytical and problem-solving skills with a track record of tacking complex challenges. Solid communication and presentation abilities, capable of conveying technical concepts to diverse audiences. Proven experience across the product lifecycle from ideation to shipping. Publications in leading AI/ML conferences (e.g., NeurIPS, ICML, ACL), demonstrating thought leadership and technical depth.