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

Responsibilities

• 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.
• - 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:

Preferred qualifications:

Qualifications

• 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.