Senior Manager, Machine Learning Engineering

GoFundMe • San Francisco, CA

45d • $225,000 - $337,000 • Hybrid

About The Position

GoFundMe is the world's most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes - for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join GoFundMe as our next Senior Manager, Machine Learning Engineering in the Applied Science organization, where you will lead a talented and motivated team to deliver high-impact solutions for our users and our business. In this role, you will design, build, and deploy innovative services and applications that leverage state-of-the-art machine learning and AI techniques from generative AI, personalization and recommender systems, search and retrieval systems, taxonomy and classification systems, and more. This role requires strong leadership and end-to-end execution at both strategic and tactical levels, supported by broad and deep expertise in machine learning, AI, and secure software development. Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week.

Requirements

• Have 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields, emphasizing secure, large-scale, distributed system design and AI/ML pipeline and feature development.
• Have 3+ years of experience managing teams of machine learning engineers, data scientists, data engineers, software engineers, and related roles.
• Possess extensive experience designing, developing, and operating scalable backend systems and applying secure software engineering best practices.
• Have deep expertise developing search and retrieval systems, personalization and recommender systems, ontologies and classification systems, and AI agents.
• Demonstrate strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design.
• Possess experience employing robust CI/CD pipelines, automated testing (unit and integration), automated model performance evaluation, and deployment practices.
• Exhibit strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture.
• Have a track record of innovation, cross-functional collaboration, and hiring top-tier talent.
• Are an excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders.
• Have a Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred).
• Are proficient in Python and provisioning cloud-based infrastructure via code (AWS preferred).

Nice To Haves

• Sense of humor is optional but appreciated.

Responsibilities

• Build and manage a world-class team of engineers and scientists who specialize in the design and development of production applications that use machine learning and/or AI.
• Translate product and business needs into scalable ML solutions with clear and measurable outcomes.
• Look around the corner; identify opportunities to develop and deliver new technology that will delight customers, and advocate for these projects.
• Provide technical leadership on algorithms, architectures, and tooling; set high standards, evangelize best practices, and influence decisions.
• Drive the end-to-end ML lifecycle, including data pipelines, feature engineering, training, evaluation, A/B testing and experimentation, and production deployment.
• Employ robust ML Ops practices: CI/CD, model serving, monitoring, alerting, and model/version governance.
• Lead initiatives to streamline application development workflows, increase team velocity, and maximize business impact.
• Contribute to strategic planning and the development of the Applied Science roadmap.
• Coach and mentor engineers and scientists, fostering a culture of collaboration, continuous improvement, and engineering excellence within the team.
• Champion responsible AI, privacy, and compliance in data use, modeling, and user experiences.

Benefits

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Management of Companies and Enterprises
• Number of Employees: 251-500 employees