Machine Learning Engineering Manager, GAI Search Relevance

Machine Learning Engineering Manager, GAI Search Relevance

As the leader of a team of talented search relevance engineers, your objective will be to measure and improve the ranking and relevance of our AI-powered enterprise search applications. Since these applications also leverage large language models (LLMs), you will also be responsible for measuring and improving RAG-based objectives such as summarization, groundedness of responses, and citation correctness and completeness. You will guide the team to drive end-to-end development of machine-learning models, including data synthesis, feature engineering, experiment design, evaluation and more. Your team will play a pivotal role in improving our search relevance in a systematic and methodical manner as we scale to new customers, new types of data and use-cases, and will ultimately be accountable for the ranking quality of all our enterprise search products.

Your team's ownership of search quality is crucial to the company's search product lines, with success measured by its enablement capabilities. You will enable your team members by facilitating rapid iteration on model enhancements, allowing them to improve ML metrics with a clear understanding of performance tradeoffs and generalizability.

You will be responsible for guiding the team's technical direction, managing project timelines, and ensuring the robustness, efficiency, and innovation of our machine learning based search systems. Your team will collaborate closely with search infrastructure and platform engineers, and partner with product, design, and customer success teams to jointly achieve business objectives.

What You Will Do:

Team Leadership:

• Recruit, hire, and mentor a high-performing team of machine learning engineers.
• Maintain a “ranking and relevance” mindset in your team, developing a thought leadership on our long-term relevance roadmap.
• Foster a collaborative and inclusive team culture, promoting knowledge sharing and continuous learning.
• Set clear goals, provide regular feedback, and promote professional growth and development of team members.

Project Management:

• Develop and manage project plan.