Senior Staff Machine Learning Engineer - Architect: GoFundMe

GoFundMe is the world’s largest community fundraising platform, dedicated to helping people help each other. Since 2010, the community has raised over $40 billion for individuals and non-profits. The company's core values are being "impatient to be great, find a way, earn trust every day, fueled by purpose."

Responsibilities:

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers.

Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions.

Build and optimize scalable model training, fine-tuning, and inference pipelines.

Influence the technical strategy for developing embedding stores, vector databases, and other reusable assets.

Design and develop backend services and RESTful APIs using Python and FastAPI.

Take operational responsibility for team-owned services, including performance monitoring and participating in an on-call rotation.

Collaborate with technical and non-technical colleagues to deliver reliable, scalable ML-driven products.

Coach and mentor fellow ML engineers.

Requirements:

9+ years of hands-on experience in machine learning engineering, AI development, or software engineering, with an emphasis on large-scale, distributed system design.

Extensive experience designing, developing, and operating scalable backend systems using best practices like domain-driven design and microservices.

Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development.

Strong knowledge of databases, data storage paradigms, and RESTful API design.

Experience establishing robust CI/CD pipelines and automated testing.

Strong leadership skills, including project management and mentoring.

Excellent communication skills for both technical and non-technical stakeholders.

Proficiency in Python and provisioning cloud-based infrastructure via code (AWS preferred).

A Bachelor's degree in Computer Science, Software Engineering, or a related technical field is preferred.