Build and deliver model-driven features from concept to production - spanning model development, evaluation, metrics, and A/B testing. You will master an area of research and understand any applicable techniques. You'll also contribute to tracking changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will review business and product requirement, incorporate research, and contribute to problem solving. You will also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You'll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline. You will document work and experimentation results and share findings to promote innovation. You'll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection 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 2+ years of experience in applied ML, NLP, or deep learning. 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 5+ 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. 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers). 2+ years of experience in machine learning engineering, including model development, deployment, and optimization at scale. 2+ years of experience with programming skills in Python and ML frameworks (e.g., PyTorch, TensorFlow).
