Moveworks · 1 day ago
Machine Learning Engineering Manager, GAI Search Relevance
Mountain View, CA
Full-time
Onsite
Director/Executive
8+ years expMoveworks is an AI Assistant that helps employees find information and automate tasks. The Machine Learning Engineering Manager will lead a team focused on improving AI-powered enterprise search applications, guiding technical direction, managing projects, and ensuring the quality and performance of machine learning systems.
Artificial Intelligence (AI)Cloud ComputingInformation TechnologyTechnical Support
Responsibilities
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
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 our 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 that our 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
Communicate, collaborate, and build relationships with partner teams and peer teams to facilitate cross-functional projects
Qualification
Required
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
Benefits
Market competitive salary
Equity for all full time roles
Exceptional benefits
Commissions or bonus plans
Company
Moveworks
Moveworks offers an AI-powered assistant designed to enhance workflows and automate tasks within enterprises.
501-1000 employees
H1B Sponsorship
Moveworks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (40)
2024 (24)
2023 (13)
2022 (38)
2021 (24)
2020 (8)
Funding
Current Stage
Late StageTotal Funding
$305M2025-03-10Acquired
2021-06-30Series C· $200M
2019-11-14Series B· $75M
Leadership Team
Bhavin Shah
CEO & Founder
Jiang Chen
Founder & CTO, AI
Recent News
2026-01-06
2025-12-30
Company data provided by crunchbase