GoFundMe is looking to deliver high-impact solutions for its users and business by leveraging state-of-the-art machine learning and AI techniques, and is hiring a Senior Manager, Machine Learning Engineering to lead this effort.
Requirements
- 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.
- 3+ years of experience managing teams of machine learning engineers, data scientists, data engineers, software engineers, and related roles.
- Extensive experience designing, developing, and operating scalable backend systems and applying secure software engineering best practices.
- Deep expertise developing search and retrieval systems, personalization and recommender systems, ontologies and classification systems, and AI agents.
- Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design.
- Experience employing robust CI/CD pipelines, automated testing (unit and integration), automated model performance evaluation, and deployment practices.
- Proficient in Python and provisioning cloud-based infrastructure via code (AWS preferred)
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
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)
- Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders.
- Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture.
- Sense of humor is optional but appreciated.
- Ability to work in a hybrid environment, with a location in Buenos Aires, Argentina
