Senior Machine Learning Manager - GenAI Search Platform

About the Role

Key Responsibilities

• Recruit, hire, and mentor a high-performing team of machine learning engineers.
• Maintain a 'system focus' mindset in your team.
• 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.
• 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.
• 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 projects leverage cutting-edge technologies.
• Implement best practices for model development, data pipelines, and model evaluation.
• Monitor and optimize the performance, scalability, and reliability of machine learning systems.
• Ensure AI solutions meet high standards of accuracy and efficiency.
• 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.
• Advocate for platform usability by gathering feedback from relevance and product engineers, and ensuring their workflows are fully supported.

Requirements

• Master's degree in Computer Science or a related field. A Ph.D. is a plus.
• 8+ years of experience in machine learning or software engineering, including 3+ years in technical leadership or management roles.
• Proven technical expertise recognized at Staff Engineer (comparable to Google/Meta L6) or above level.
• Experience managing high-performing teams, including mentoring and supporting Staff-level (I6) or higher engineers.
• 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 deploying machine learning models in production environments.

Nice to Have

• Experience with large language models (LLMs) and retrieval-augmented generation (RAG) techniques.
• Experience in building AI platforms for enterprise search applications.
• Familiarity with modern search infrastructure and relevance engineering.

Qualifications

• Master's degree in Computer Science or related field; Ph.D. preferred.
• 8+ years in machine learning or software engineering.
• 3+ years in technical leadership or management roles.

Benefits & Perks

• Market competitive salary
• Equity for all full-time roles
• Exceptional benefits
• Potential for commissions or bonus plans
• Final offers may vary based on geography, role scope, candidate experience, and other factors.