Senior Manager, Machine Learning Engineering

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Join GoFundMe as our next Senior Manager, Machine Learning Engineering i n 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.

• 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.

• 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).

The total annual salary for this full-time position is $267,000 - $401,000 + equity + benefits. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location.

Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com .

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