Research, design, and build high-impact end-to-end machine learning systems for customer growth
Lead the design of scalable ML solutions in production
Promote and role-model best practices of data science, engineering, and communication throughout the organization
Evangelize ML adoption and innovation across the product and engineering teams
Foster a diverse community of data scientists and ML engineers
Partner with cross-functional teammates in Product, Design, Content, and Marketing to understand their problems and design solutions
Requirements & Skills:
M.S or B.S.in a Computer Science/Statistics/Data Science/Quant or related field
5+ years of building products with Machine Learning and Personalization
Strong proficiency with ML frameworks such as TensorFlow, PyTorch, XGBoost, Scikit-learn, etc.
Knowledge in one or more of the areas such as Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning, and Constrained Optimization
Production experience implementing machine learning pipelines and models at scale in Python, Java, Scala, or similar languages
Demonstrated ability to lead technical decisions
Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to data scientists, engineers, and product manager audiences
Passion for data-driven research, development, and experimentation
Self-motivated, growth-oriented, and driven to pursue solutions to challenging problems
