Staff Machine Learning Engineer (Pricing)

Go Fund Me
San Francisco
Workplace: HybridFull timeUSD 215,000 - 322,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: mastersSkills: ["Python","PyTorch","TensorFlow","Scikit-learn","CI/CD","API design","Performance","Reliability","SQL","Spark","Databricks","Snowflake","GitHub","Docker","Kubernetes","FastAPI","Terraform","AWS"]

Lead end-to-end ML pricing systems for GoFundMe’s monetization initiatives, building production-grade pipelines, real-time inference, and instrumentation. You will own pricing optimization from metrics to deployment, collaborate across product, engineering, and privacy teams, and mentor others while delivering measurable business impact in a high-availability environment.

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FursaFursa
Go Fund Me
Go Fund Me
3 months ago

Staff Machine Learning Engineer (Pricing)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Lead end-to-end ML pricing systems for GoFundMe’s monetization initiatives, building production-grade pipelines, real-time inference, and instrumentation. You will own pricing optimization from metrics to deployment, collaborate across product, engineering, and privacy teams, and mentor others while delivering measurable business impact in a high-availability environment.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •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, 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.

Pay and Benefits

Salary: USD 215,000 - 322,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDentalVisionLife InsuranceParental LeaveHybrid Work

Key Requirements

  • •7+ years of hands-on experience building and shipping production machine learning systems, with ownership of backend services and ML pipelines in a high-availability environment.
Experience:7+ yearsMonetizationPricingGrowth optimization
Education:Master's
Skills:PythonPyTorchTensorFlowScikit-learnCI/CDAPI designPerformanceReliabilitySQLSparkDatabricksSnowflakeGitHubDockerKubernetesFastAPITerraformAWS
Languages:English
Tech Stack:PythonPyTorchTensorFlowScikit-learnSQLSparkDatabricksSnowflakeDockerKubernetesFastAPITerraformAWSGitHub

Company Brief

Go Fund Me
Operates an online crowdfunding platform that enables individuals and organizations to raise money for personal causes, medical expenses, charities, and community projects through donations from the public.
Industry: Online Marketplaces
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: San Diego, United States
Founded: 2010
WebsiteLinkedIn