Senior Machine Learning Engineer

OverviewJob Description Senior Machine Learning Engineer at GiveCampusLocation: Washington, DC (Remote)Salary: $118.40K - $162.50K/yr (Estimated pay)Type: Full-timePosted: 1 hour agoAbout GiveCampusGiveCampus is the world's leading fundraising platform for non-profit educational institutions. Trusted by 1,300+ colleges, universities, and K-12 schools, our mission is to help advance the quality, the affordability, and the accessibility of education.Job DescriptionWe're looking for a Senior ML Engineer to own the productionization and operational lifecycle of our machine learning models. You'll work closely with our Data Scientist, who focuses on customer discovery and prototype development, to take validated models from notebooks to production systems that serve predictions to our customers.This is our first ML Engineer position, and you will be instrumental in defining the direction of our ML Platform. This is a high-impact role where you'll shape how we build and operate ML systems.ResponsibilitiesModel Productionization: Transform prototypes into production-ready Python code, containerize models, implement comprehensive testing.Pipeline Development: Build automated training pipelines using SageMaker Pipelines and Step Functions; develop batch and real-time inference pipelines; integrate with Snowflake.Deployment & Serving: Deploy models to SageMaker endpoints, configure batch transform jobs, integrate predictions with our Rails application.Operations & Maintenance: Monitor model performance, build automated retraining pipelines, own incident response, optimize costs.Platform & Tooling: Build reusable templates, libraries, and documentation for ML operations.What We Are Looking For5+ years of software engineering experience, with 3+ years focused on ML systemsStrong Python skills with emphasis on production code qualityExperience deploying and operating ML models in production environmentsHands-on experience with AWS (SageMaker preferred)Proficiency with Docker and containerizationUnderstanding of ML conceptsExperience building data pipelines and working with data warehouses (Snowflake a plus)Bonus PointsExperience with SageMaker Pipelines, Feature Store, Model RegistryFamiliarity with Step Functions, EventBridgeInfrastructure as Code experience (Terraform, CDK, CloudFormation)Experience with LLMs, RAG architectures, or generative AI applicationsExperience integrating ML systems with web applications (Rails, APIs)Background in B2B SaaS or EdTechTech StackML Platform: AWS SageMakerData: SnowflakeOrchestration: Step Functions, EventBridgeApplication: RailsInfrastructure: AWS, TerraformGiveCampus is an Equal Opportunity Employer. #J-18808-Ljbffr

Created: 2026-04-20