Applied Machine Learning Engineer
Sweep
About this role
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.
Skills
About Sweep
www.sweep.ioSweep provides advanced metadata management solutions specifically designed for Salesforce environments, optimizing them for AI readiness. By offering tools that enhance the integration and organization of data, Sweep ensures that Salesforce users can leverage their data more effectively to drive business insights and decision-making. Their services cater to organizations looking to elevate their Salesforce experience through streamlined data processes and enhanced operational efficiency.
Recent company news
Cybersecurity Leaders Turn to Sweep to Agentically Govern Salesforce Environments
1 day ago
TLT advises leading renewable energy company on sweep of strategic transactions
4 days ago
LPL Financial Says SEC Ended Its Investigation Into Company’s Cash Sweep Program
2 weeks ago
Sweep: The Future of Sustainability Data Management
Sep 3, 2025
3 observations after Virginia Tech joins elite company with West Coast sweep
4 weeks ago
About Sweep
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
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
Unlock Company Insights
View leadership team, funding history,
and employee contacts for Sweep.
Salary
$159k – $214k
per year
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