Moveworks
Machine Learning Mountain View, CA Full Time
Please ensure you read the below overview and requirements for this employment opportunity completely. Machine Learning Engineering Manager - GenAI Search Platform Your team's ownership of the search platform is crucial to the company's search product lines, with success measured by its enablement capabilities. This platform should facilitate rapid iteration on model enhancements for relevance engineers, allowing them to improve ML metrics with a clear understanding of performance tradeoffs. Additionally, it should enable product engineers to develop novel search applications with ease. 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 relevance engineers, and partner with product, design, and customer success teams to jointly achieve business objectives. What you’ll do:
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. 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. Advocate for platform usability by gathering feedback from internal relevance and product engineers, and ensuring their workflows are fully supported. What you bring to the table:
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 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. Knowledge of software engineering best practices and experience with deploying machine learning models in production environments. Base Compensation Range:
$225,000 - 275,000 Founded in 2016, Moveworks has raised $315M in funding, and eclipsed $100M in ARR in 2024 thanks to our award-winning product and team. Along the way, we’ve earned recognition as a leader in the Forrester Wave for Conversational AI Platforms for Employee Services, as a member of the Forbes Cloud 100 and AI 50 lists, and as one of America’s Most Loved Workplaces according to Newsweek. Today, Moveworks has over 500 employees in six offices globally, and is backed by some of the world's most prominent investors including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more. Over 350 leading organizations like Marriott, Databricks, Toyota, CVS Health, and Honeywell trust Moveworks to increase operational efficiency, enhance the employee experience, and drive lasting AI transformation. Come join one of the most innovative teams on the planet!
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Please ensure you read the below overview and requirements for this employment opportunity completely. Machine Learning Engineering Manager - GenAI Search Platform Your team's ownership of the search platform is crucial to the company's search product lines, with success measured by its enablement capabilities. This platform should facilitate rapid iteration on model enhancements for relevance engineers, allowing them to improve ML metrics with a clear understanding of performance tradeoffs. Additionally, it should enable product engineers to develop novel search applications with ease. 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 relevance engineers, and partner with product, design, and customer success teams to jointly achieve business objectives. What you’ll do:
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. 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. Advocate for platform usability by gathering feedback from internal relevance and product engineers, and ensuring their workflows are fully supported. What you bring to the table:
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 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. Knowledge of software engineering best practices and experience with deploying machine learning models in production environments. Base Compensation Range:
$225,000 - 275,000 Founded in 2016, Moveworks has raised $315M in funding, and eclipsed $100M in ARR in 2024 thanks to our award-winning product and team. Along the way, we’ve earned recognition as a leader in the Forrester Wave for Conversational AI Platforms for Employee Services, as a member of the Forbes Cloud 100 and AI 50 lists, and as one of America’s Most Loved Workplaces according to Newsweek. Today, Moveworks has over 500 employees in six offices globally, and is backed by some of the world's most prominent investors including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more. Over 350 leading organizations like Marriott, Databricks, Toyota, CVS Health, and Honeywell trust Moveworks to increase operational efficiency, enhance the employee experience, and drive lasting AI transformation. Come join one of the most innovative teams on the planet!
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