The Ads Forecasting team at Netflix is seeking a founding member to build machine learning models that enhance the predictive capabilities of the ad business. This role focuses on developing models to forecast campaign delivery outcomes, integrating supply and demand signals, and improving the accuracy of predictions. The position requires collaboration with ML engineers and cross-functional partners to ensure models are effectively deployed and monitored. This is a foundational role that combines creativity, technology, and data-driven decision-making.

• Advanced degree (PhD or Master's) in Statistics, Mathematics, Computer Science, or a related quantitative field.
• 5+ years of relevant experience building machine learning models on large-scale data.
• Deep expertise in supervised learning with a strong bias toward interpretable, explainable models.
• Strong feature engineering skills and familiarity with feature stores and standard ML lifecycle practices.
• Proven ability to prototype algorithms and validate them rigorously against production data.
• Strong programming skills in Python and SQL.
• Working knowledge of ad-serving and campaign concepts, including delivery risk factors.
• Ads experience is strongly preferred.
• Ability to communicate technical and statistical concepts clearly to diverse audiences.

• Build, prototype, and iterate on supervised machine learning models that predict campaign delivery outcomes.
• Model demand-side campaign outcomes while incorporating supply-side signals.
• Design rigorous offline and online evaluation frameworks to measure model accuracy and robustness.
• Own feature engineering and contribute to the team's feature store.
• Prioritize explainability and interpretability of model outputs for stakeholders.
• Partner with ML engineers to deploy models at scale and monitor production model health.
• Collaborate with cross-functional partners to define objectives and drive adoption of ML-driven forecasts.
• Communicate technical decisions, trade-offs, and results clearly to both technical and non-technical audiences.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.