Senior Machine Learning Manager, Generative Experiences
Role details
Job location
Tech stack
Job description
We are seeking an experienced and visionary Machine Learning Manager to lead a core team of engineers developing the next generation of our generative AI-powered search and discovery products. As a leader passionate about the intersection of machine learning, user experience, and product innovation, you will be a critical partner to Product and Design in defining an exceptional generative experience. You will guide your team through the complexities of a rapidly evolving field, establishing a clear technical vision and roadmap to transform ambitious ideas into reliable, scalable, and captivating products for millions of users.
Requirements
- 6+ years of experience in a formal management role, leading teams of machine learning engineers or research scientists.
- Experience building and shipping production-level ML systems related to Natural Language Processing (NLP), Search, or Information Retrieval.
- Demonstrated experience leading cross-functional projects, with a history of successful collaboration with Product Management, Design, and other engineering leadership.
- Proven ability to take ambiguous, high-level product goals and define a clear vision, strategy , and actionable roadmap for a technical team.
- Bachelor's degree in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent practical experience.
Preferred Qualifications
- Master's or PhD in Computer Science, Machine Learning, or a related field.
- Direct, hands-on experience building and deploying systems using Large Language Models (LLMs), such as retrieval- augmented generation (RAG), fine-tuning, or agent-based systems.
- A strong portfolio or demonstrated history of influencing product direction by championing user experience, especially in the context of generative AI or search products.
- Deep expertise in designing novel evaluation methodologies and metrics for generative models, encompassing both offline analysis and online A/B testing for user-facing experiences.
- A track record of staying current with state-of-the-art research (e.g., via conferences, publications, or personal projects) and successfully applying innovative techniques to solve product problems.
- Excellent communication skills, with the ability to articulate complex technical concepts and the rationale for key decisions to diverse stakeholders, including senior leadership.