Build deep expertise in applied research and modern LLM and ML techniques, and apply it to influence product needs and scientific direction. Review business and product requirements, incorporate research, and apply scientific rigor to design, develop, and evaluate methods and models that deliver measurable impact. Collaborate with stakeholders to understand user requirements, gather feedback, and iteratively improve models and solutions. Design, implement, and deploy AI/ML solutions that meet quality, scalability, and reliability standards, and translate project vision into actionable milestones, estimates, and plans. Document experiments and share findings to promote innovation, and contribute to ethics and privacy practices related to research and data collection. Partner closely with cross-functional teams — including engineers, product managers, and data engineers — to deliver high-impact features and platform improvements. Embody our culture and values. 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. These requirements include but are not limited to the following specialized security screenings: 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) OR equivalent experience 1+ years experience designing, developing, and evaluating ML models, LLM-based systems, or data-intensive research and evaluation systems. Demonstrated ability to ramp up quickly, work independently, and make measurable impact in fast-paced and ambiguous environments Collaboration skills and ability to work effectively across multiple teams and disciplines to deliver complex projects. 2+ years experience developing and deploying AI/ML or GenAI products or systems at multiple points in the product cycle from ideation to shipping. Experience developing, fine-tuning, or evaluating large language models (LLMs) and GenAI systems. Experience conducting research as part of a research program (in academic or industry settings), including publications such as patents, libraries, or peer-reviewed academic papers. A growth mindset, passion for continuous learning, and drive to make both systems and teams more efficient and effective.
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