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© All Rights Reserved. ApplyBlast.com
RepRisk AG
Join a growing team as an ML Platform Engineer, working on building, maintaining, and scaling machine learning and data pipelines within a company focused on transparency and accountability. The role involves deploying NLP models, designing cloud infrastructure, and optimizing ML workflows in a collaborative, agile environment.
RepRisk is a Data-as-a-Service (DaaS) firm that delivers global data and analytics on reputational and ESG risks to help organizations manage responsible business conduct. Its offerings include risk metrics and Due Diligence Scores, the RepRisk Platform, data integration, geospatial analytics, continuous monitoring, and tailored reports, supported by AI, a research lab, and a transparent methodology. Banks, asset managers, corporates, insurers, private equity firms and hedge funds use RepRisk to screen counterparties, conduct due diligence, meet compliance requirements, and monitor controversies across markets and supply chains.
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 RepRisk AG.
RepRisk AG didn’t post a salary, so this is our estimate from similar listings.
9% above the average for this role