Principal Applied Scientist

What you'll do

• Lead end-to-end development of large-scale CTR and other user response signal models for Search and Display ads
• Design, prototype, and ship cutting-edge ML architectures including deep models, multi-task, transformer-based, LLM-assisted, multimodal
• Define long-term modeling strategy and roadmap with clear business impact
• Modernize modeling pipelines addressing technical debt in data flows, training pipelines, and inference systems
• Partner with engineering teams to improve reliability, monitoring, and performance of distributed training and online serving
• Introduce best practices for experiment design, ablations, feature validation, and productionization
• Work with PMs, monetization teams, and auction experts to translate business needs into modeling goals
• Own model performance holistically: quality, stability, latency, and revenue impact
• Develop frameworks to understand advertiser value, user behavior, and marketplace dynamics
• Mentor and up-level applied scientists and ML engineers
• Drive a culture of curiosity, deep system understanding, and high-quality scientific reasoning
• Improve collaboration norms, documentation quality, and cross-team alignment
• Leverage and influence LLM-based tooling to improve team productivity and model development velocity
• Identify opportunities to incorporate new modeling signals, architectures, or evaluation metrics

Requirements

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience OR Master's Degree AND 4+ years related experience OR Doctorate AND 3+ years related experience OR equivalent experience
• Preferred: Master's Degree AND 9+ years related experience OR Doctorate AND 6+ years related experience OR equivalent experience
• 5+ years experience creating publications (patents, libraries, peer-reviewed papers)
• 2+ years experience presenting at conferences or events as invited speaker
• 5+ years experience conducting research in academic or industry settings
• 3+ years experience developing and deploying live production systems
• 3+ years experience developing and deploying products or systems through multiple product cycle stages

Tech stack

Benefits