Senior Machine Learning Platform Engineer
RepRisk AG
About this role
The ML Platform Engineer role involves developing and maintaining machine learning and data pipelines, primarily for natural language processing applications, within a cloud environment. The position focuses on deploying, monitoring, and optimizing ML models and related infrastructure.
Skills
About RepRisk AG
reprisk.comRepRisk 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.
About RepRisk AG
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
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View leadership team, funding history,
and employee contacts for RepRisk AG.
Salary
$113k – $153k
per year