Staff Machine Learning Engineer (Pricing)

Want to help us help others Were hiring!

GoFundMe is the worlds 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 training and evaluation.
• Build low-latency real-time inferencing services including API design caching strategies model packaging and deployment on Kubernetes.
• Collaborate with teams to develop instrumentation and event pipelines to capture user and campaign activity required for training and evaluation (e.g. impression/click/submit donation amount tip amount recurring enrollment/cancellation) ensuring schema quality lineage and privacy-by-design.
• Apply causal and experimental methodologies to measure impact and avoid biased optimization including online A/B testing design guardrail metrics sequential testing considerations and counterfactual/causal approaches when needed.
• Develop optimization approaches appropriate for pricing-like problems such as uplift modeling bandits constrained optimization calibration and multi-objective tradeoffs (e.g. yield vs. donor trust short-term conversion vs. long-term retention).
• Establish ML operational excellence by implementing model observability (latency errors drift calibration business KPI deltas) automated retraining triggers rollback strategies and incident response playbooks for pricing systems.
• Partner cross-functionally with Product Engineering Design and Legal/Privacy stakeholders to translate business goals into measurable technical 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 experiencee.g. integrating with web clients and experimentation frameworksis a plus.)

You

• 7 years of hands-on experience building and shipping production machine learning systems with demonstrated ownership of backend services and ML pipelines in a high-availability environment.
• Strong proficiency in Python and ML libraries/frameworks such as PyTorch TensorFlow Scikit-learn plus strong software engineering fundamentals (testing code review CI/CD API design performance and reliability).
• Demonstrated experience in pricing/monetization or growth optimization domains preferred.
• Experience designing and deploying real-time model serving (sub-100ms to low-hundreds ms latency targets) including containerization scalable inference feature retrieval and safe rollout strategies (canaries shadowing backward-compatible schema evolution).
• Strong data engineering fluency: building reliable datasets and features using SQL Spark/Databricks and warehouse technologies (e.g. Snowflake) with an understanding of event semantics identity resolution and data quality controls.
• Working knowledge of experiment design and causal measurement for monetization systems including pitfalls such as selection bias interference and delayed outcomes; familiarity with uplift modeling bandits or constrained optimization is a strong 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 (Masters or Ph.D.) in Computer Science Statistics Data Science or a related technical field is preferred.
• Sense of humor is optional but appreciated.

Why youll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse passionate and talented team in a fast-paced forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work family planning along with generous parental leave flexible time-off policies and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning development and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity equity and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great find a way earn trust every day fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race color religion ethnicity nationality or national origin sex sexual orientation gender gender identity or expression pregnancy status marital status age medical condition mental or physical disability or military or veteran status.

The annual U.S. salary range for this full-time position is $215000 - $322000. The company also offers equity and other benefits to employees including healthcare dental vision life insurance and 401(k) saving addition to this wage there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills experience education or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process please contact us at .

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Learn more about GoFundMe:

Were proud to partner with an independent public charity to extend the reach and impact of our generous community while helping drive critical social change. You can learn more about activities and impact in their FY 25 annual report.

Our annual Year in Help report reflects our communitys impact in advancing our mission of helping people help each other.

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