Sweep
As an Applied Machine Learning Engineer at Sweep, you will design and deliver machine learning solutions that integrate into production systems, collaborating with product managers and backend teams. The role requires building, testing, and deploying end-to-end ML systems, writing high-quality Python code, and working with real-world datasets to address practical challenges. Additionally, you will participate in system design discussions regarding cloud infrastructure and explore Generative AI capabilities to enhance functionality.
Headquarters
New York, New York, United States
Company Size
11-50 employees
Founded
2021
Sweep is an enterprise-grade metadata platform that provides a single agentic layer for connecting, contextualizing, and governing metadata across multiple systems (including Salesforce, Snowflake, ServiceNow, and HubSpot). It enables AI-ready data, change impact analysis, and governance with AI-powered documentation and real-time metadata insights to help teams analyze, plan, and optimize their complex tech stacks.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Sweep.
Sweep didn’t post a salary, so this is our estimate from similar listings.
Sweep: The Future of Sustainability Data Management
Sep 3, 2025