Machine Learning Engineer, Search Ranking

Responsibilities

• Lead the design and development of machine learning models for Search ranking
• Own major ranking initiatives from problem definition through experimentation, launch, and iteration
• Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval, neural ranking, sequence models
• Build ranking systems that balance multiple objectives, such as relevance, user satisfaction, freshness, diversity, fairness, safety, latency, and business goals
• Partner with product managers, data scientists, and engineers to define success metrics, experimentation strategy, and long‑term ranking roadmap

• Bachelor's Degree in a relevant technical field
• 8+ years of post‑Bachelor’s machine learning experience; or Master’s degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience
• Experience developing machine learning models for relevance ranking, personalization, intent understanding, and/or engagement optimization
• Experience with large‑scale data processing and ML infrastructure, such as Spark, Flink, Beam, Tensor Flow, PyTorch, JAX, or similar tools

• machine learning
• ranking models
• learning‑to‑rank
• deep retrieval
• neural ranking
• sequence models
• relevance ranking
• personalization
• intent understanding
• engagement optimization

• leadership
• collaboration
• problem definition
• experimentation
• iteration
• communication
• strategic planning

• Bachelor's Degree
• Master's Degree
• PhD