Staff Machine Learning Engineer

Job Description

GoFundMe is seeking a Staff Machine Learning Engineer to contribute to the design and implementation of next-generation machine learning and AI-based services. The ideal candidate will collaborate with a motivated team to deliver high-impact solutions. This is a hybrid position located in Buenos Aires, Argentina.

The Staff ML Engineer will be responsible for architecting and implementing high-throughput batch inference solutions and distributed, low-latency real-time inference services. They will lead initiatives to streamline ML workflows, improve operational efficiency, and establish standardized procedures. The role involves collaborating with technical and non-technical colleagues, coaching fellow ML engineers, and employing a diverse set of tools and platforms.

GoFundMe offers the chance to be part of a mission-driven organization, collaborate with a diverse and talented team, and contribute to a fun, supportive environment rooted in core values.

The Role Involves:

• Architecting and implementing high-throughput batch inference solutions.
• Designing, building, and optimizing scalable machine learning training and inference pipelines.
• Leading initiatives to streamline ML workflows and improve operational efficiency.
• Developing and maintaining backend services and RESTful APIs using Python and FastAPI.
• Taking operational responsibility for team-owned services.
• Collaborating with technical and non-technical colleagues.
• Coaching and mentoring fellow ML engineers.

Requirements:

• 7+ years of experience in machine learning engineering, software engineering, or related fields.
• Extensive experience architecting, developing, and operating scalable backend systems.
• Expertise in containerization technologies (Docker, Kubernetes, Helm).
• Strong knowledge of relational and document-based databases and RESTful API design.
• Experience designing, developing, and deploying end-to-end machine learning systems.
• Experience establishing robust CI/CD pipelines and automated testing practices.
• Strong leadership and communication skills.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred).
• Proficiency in Python; additional proficiency in Kotlin and Java is preferred.

GoFundMe Offers:

• Being part of a mission-driven organization.
• Collaboration with a diverse, passionate, and talented team.
• A fun, supportive team environment.