About
Job Description
Senior Machine Learning Engineer at GiveCampus Location : Washington, DC (Remote) Salary : $118.40K - $162.50K/yr (Estimated pay) Type : Full-time Posted : 1 hour ago About GiveCampus
GiveCampus 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 Description
We'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. Responsibilities
Model 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 For
5+ years of software engineering experience, with 3+ years focused on ML systems Strong Python skills with emphasis on production code quality Experience deploying and operating ML models in production environments Hands-on experience with AWS (SageMaker preferred) Proficiency with Docker and containerization Understanding of ML concepts Experience building data pipelines and working with data warehouses (Snowflake a plus) Bonus Points
Experience with SageMaker Pipelines, Feature Store, Model Registry Familiarity with Step Functions, EventBridge Infrastructure as Code experience (Terraform, CDK, CloudFormation) Experience with LLMs, RAG architectures, or generative AI applications Experience integrating ML systems with web applications (Rails, APIs) Background in B2B SaaS or EdTech Tech Stack
ML Platform: AWS SageMaker Data: Snowflake Orchestration: Step Functions, EventBridge Application: Rails Infrastructure: AWS, Terraform GiveCampus is an Equal Opportunity Employer.
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Languages
- English
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