Senior Staff ML Software Engineer, AI Generated Content Quality, Search Discover Feed

• Lead the development of advanced AI-generated content (AIGC) recommendation frameworks and agentic flows to generate high-quality content for Discover and Notifications.
• Build and implement advanced offline and online quality evaluation frameworks for LLMs to ensure content factuality, freshness, and coherence.
• Conduct advanced quality evaluations and leverage dense recommendation signals and feedback to improve the overall performance of the AIGC stack.
• Drive end-to-end modeling for the personalization flow, focusing heavily on inventory quality, retrieval, ranking, user understanding, and budgeting predictions.
• Optimize ML inference and resolve system-level bottlenecks to improve serving efficiency for low-latency, high queries-per-second (QPS) global surfaces.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
  
• 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience building quality evaluation frameworks for large language models.
• Experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• Experience building advanced offline and online quality evaluation frameworks for Large Language Models (LLMs).
• Experience integrating advanced quality evaluation frameworks with downstream recommendation signals.
• Experience mentoring executive engineers and influencing broader organizational machine learning strategies.

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development.
  
• 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience building quality evaluation frameworks for large language models.
• Experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.