Staff Machine Learning Engineer (Pricing)
AI summary of the role
GoFundMe is hiring a Staff Machine Learning Engineer to own end-to-end ML systems for pricing and monetization, including donation yield optimization, LTV modeling, and personalized checkout experiences.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Own end-to-end ML systems for pricing optimization, from problem framing and metric definition to model development, launch, and iteration in production.
- Design and implement backend model pipelines including feature engineering, training, and evaluation.
- Build low-latency real-time inferencing services with API design, caching, model packaging, and deployment on Kubernetes.
- Apply causal and experimental methodologies for impact measurement, including A/B testing, guardrail metrics, and counterfactual approaches.
What you’ll bring
- 7+ years of hands-on experience building and shipping production machine learning systems with ownership of backend services and ML pipelines.
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn, plus software engineering fundamentals.
- Experience designing and deploying real-time model serving with sub-100ms to low-hundreds ms latency targets.
- Strong data engineering fluency with SQL, Spark/Databricks, and Snowflake.
Technologies
Python · PyTorch · TensorFlow · Scikit-learn · AWS · Databricks · Docker · Kubernetes · FastAPI · Terraform · Snowflake · GitHub
About GoFundMe
Online fundraising platform uniting individuals and nonprofits, letting anyone raise money safely for personal causes, charities, and disaster relief.
Private Late · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes – for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join GoFundMe as our next Staff Machine Learning Engineer (Pricing). In this role, you will design, develop, and deploy machine learning systems that power pricing and monetization programs across GoFundMe such as personalized donation and checkout experiences, donation yield optimization (one-time and recurring), recurring donor LTV optimization, fundraising goal suggestions, and more. This role requires strong end-to-end execution and deep expertise in building production ML systems (data → training → online
More from the job description
Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes – for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join GoFundMe as our next Staff Machine Learning Engineer (Pricing). In this role, you will design, develop, and deploy machine learning systems that power pricing and monetization programs across GoFundMe such as personalized donation and checkout experiences, donation yield optimization (one-time and recurring), recurring donor LTV optimization, fundraising goal suggestions, and more. This role requires strong end-to-end execution and deep expertise in building production ML systems (data → training → online inference → measurement) with rigorous experimentation and monitoring. 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. The Job… Own end-to-end ML systems for pricing optimization, from problem framing and metric definition (e.g., donation yield, conversion, retention, LTV) to model development, launch, and iteration in production. Design and implement backend model pipelines including feature engineering, tr [... source excerpt omitted ...] deliverables and ship safely. Mentor and set technical direction for other engineers and scientists through design reviews, architecture decisions, and shared best practices for production ML in monetization. Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems. (Full-stack experience—e.g., integrating with web clients and experimentation frameworks—is a plus.) You… 7+ years of hands-on experience building and shipping production machine learning systems, with demonstrated ownership of backend services and ML pi [... source excerpt omitted ...] rong plus. Experience implementing ML monitoring for both technical and business metrics (drift, calibration, segment performance, latency, error budgets) and operating models in production. Ability to break down ambiguous, high-impact problems, define crisp interfaces and success metrics, and deliver iteratively with strong stakeholder communication. Strong leadership and mentoring skills and a proven ability to raise the bar on architecture, engineering quality, and operational rigor for ML-powered pricing systems. Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred. Sense of humor is optional but appre
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