Machine Learning Engineering Manager

Job Description

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 plans, timelines, and budgets for machine learning initiatives.Ensure the successful execution of projects, from ideation and prototyping to production deployment.Collaborate with cross-functional teams to define project requirements and priorities.Technical Leadership:Drive the technical vision and strategy.Guide the integration and application of large language models (LLMs) and retrieval-augmented generation (RAG) techniques to enable modern, intelligent search experiences.Oversee the research, development, and deployment of machine learning models and algorithms.Stay current with the latest advancements in the field and ensure that our projects leverage cutting-edge technologies.Quality and Performance:Implement best practices for model development, data pipelines, and model evaluation.Monitor and optimize the performance, scalability, and reliability of machine learning systems.Ensure that our AI solutions meet high standards of accuracy and efficiency.Stakeholder Communication:Collaborate with leadership, product managers, customer success staff, and other teams to align machine learning initiatives with business goals.Provide regular updates and reports on project status, challenges, and successes to stakeholders.Communicate, collaborate, and build relationships with partner teams and peer teams to facilitate cross-functional projectsWhat you bring to the table:Master’s degree in Computer Science specializing in Machine Learning or a related field. A Ph.D. is a plus.8+ years of experience in applied machine learning preferably in the ranking/relevance domain, including 3+ years in technical leadership or management roles. Proven technical expertise that has been recognized at Staff Engineer (comparable to Google/Meta L6) or above level.Proven experience managing high-performing teams, including mentoring and supporting Staff-level (I6) or higher engineers, with a strong track record of delivering technically ambitious, production-grade projects.Proficiency in programming languages such as Python, Golang, C++.Excellent problem-solving and analytical skills.Strong communication skills.Knowledge of software engineering best practices and experience with deploying machine learning models in production environments.