Staff ML Engineer – Pricing & Monetization

GoFundMe; San Francisco (CA); Hybrid; USD 215,000 - 322,000; Full time

Benefits offered by this job

Comprehensive healthcare benefits

Financial assistance for hybrid work

Generous parental leave

Flexible time-off policies

Mental health and wellness resources

Job summary

GoFundMe is seeking a Staff Machine Learning Engineer (Pricing) in San Francisco to design and deploy ML systems that optimize donation experiences. Responsibilities include owning ML systems for pricing, developing backend pipelines, and collaborating cross-functionally. The ideal candidate will have over 7 years of experience in ML, strong Python skills, and familiarity with AWS and Kubernetes. Salary range is $215,000 - $322,000, and comprehensive benefits are provided.

Qualifications

• 7+ years of hands-on experience building and shipping production machine learning systems.
• Strong proficiency in machine learning libraries/frameworks like PyTorch and TensorFlow.
• Experience in pricing/monetization or growth optimization domains preferred.

Responsibilities

• Own end-to-end ML systems for pricing optimization including model development and launch.
• Design and implement backend model pipelines including training and evaluation.
• Collaborate with teams to develop instrumentation and event pipelines for training.

Skills

Machine Learning

Python

Pricing Optimization

Data Engineering

Real-time Model Serving

Causal Measurement

SQL

Education

Advanced degree in Computer Science, Statistics, or related field

Tools

AWS

Docker

Kubernetes

Databricks

FastAPI

Terraform

Snowflake

Job description

GoFundMe is seeking a Staff Machine Learning Engineer (Pricing) in San Francisco to design and deploy ML systems that optimize donation experiences. Responsibilities include owning ML systems for pricing, developing backend pipelines, and collaborating cross-functionally. The ideal candidate will have over 7 years of experience in ML, strong Python skills, and familiarity with AWS and Kubernetes. Salary range is $215,000 - $322,000, and comprehensive benefits are provided.