Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
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You will build and integrate ML solutions for real-time and offline transaction and customer behavior evaluation, support crypto products with ML to prevent fraud, experiment with modeling techniques, analyze datasets using SQL, Python, and Apache Beam, and own the full lifecycle of ML solutions.
Engineering is organized in small cross-functional squads of 4-6 engineers with an embedded Product Manager and Product Data Analyst, covering areas like Crypto, NFT, Payments, FinCrime, KYC, and Core Product.
The initial focus is on working on FinCrime products, while mastering other product areas to spearhead ML and AI adoption across the company.
MoonPay emphasizes building a fairer financial system with contributions from all backgrounds, organizes in small cross-functional squads for quick learning and scaling, and commits to trust, compliance, and innovation in crypto infrastructure.
Cryptocurrency payment solutions and services
MoonPay provides cryptocurrency payment solutions that allow users to easily buy and sell digital assets. The platform operates globally and caters to individual investors, businesses, and developers. Users can make transactions through MoonPay, which charges fees for each purchase or sale. To enhance security, MoonPay also includes services like fraud prevention and compliance support. A key aspect that sets MoonPay apart from its competitors is its commitment to sustainability; it operates as a fully remote and paperless organization and aims to achieve carbon neutrality by 2030 by offsetting emissions and investing in eco-friendly initiatives.