GoFundMe is looking to solve the problem of helping people help each other by leveraging state-of-the-art machine learning and AI techniques to deliver high-impact solutions for users and the business.
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.
- 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.
- Are proficient in Python and provisioning cloud-based infrastructure via code (AWS preferred).
- Have experience with generative AI, personalization and recommender systems, search and retrieval systems, taxonomy and classification systems
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.
- 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.
Other
- Have a Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred).
- Have 3+ years of experience managing teams of machine learning engineers, data scientists, data engineers, software engineers, and related roles.
- Exhibit strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture.
- Are an excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders.
- Must be located in the San Francisco, Bay Area with an in-office requirement of 3x a week
