Manager of Machine Learning Engineering, Snap

• Deep understanding of causal measurement approaches, algorithms and their application to lift measurement
• Experience setting the direction for teams focused on developing experiment based measurement
• Strong management and mentorship skills, fostering a collaborative and innovative team culture
• Excellent verbal and written communication skills, with meticulous attention to detail
• Ability to effectively collaborate with stakeholders at all levels, both internally and externally
• Proficiency in managing and solving ambiguous problems
• Bachelor’s in a related technical field such as computer science or equivalent years of experience
• 8+ years of machine learning industry experience
• 2+ years of experience leading machine learning teams

Desirable

• We're looking for a Machine Learning Engineering Manager to join the Causal Measurement team, part of the monetization team at Snap!
• Lead a team of Causal machine learning engineers, data scientists and software engineers in developing and optimizing systems to conduct lift measurement and incrementality optimization
• Define the overall architecture of the system, ensuring scalability, performance, and reliability
• Conduct lift analysis to evaluate the effectiveness of marketing campaigns, product changes, and other interventions
• Drive innovation in experimental design by implementing and optimizing techniques like hypothesis testing, variance reduction, Bayesian inference, multi-arm bandits, synthetic control, and counterfactual frameworks with robust estimation methods
• Advocate for best practices in causal inference, experimental design, and end-to-end pipeline optimization across the organization
• Chair the Experimentation Council and collaborate with cross-functional teams to ensure high-quality, actionable insights through rigorous A/B testing, uplift modeling, quasi-experimental designs, and advanced causal inference methods
• Collaborate with senior leadership and cross-functional teams to translate complex data insights into strategic recommendations
• Perform methodology, design and code reviews to raise technical excellence bar