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 both demand and supply signals. The position requires collaboration with ML engineers and cross-functional teams to ensure the models are deployed effectively and monitored for performance. The ideal candidate will have a strong background in machine learning and a passion for improving ad delivery processes.

• 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 supply and demand dynamics.

• 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 models 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 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.