Tags: Web3 Jobs • Cryptocurrency Remote Jobs • Cryptocurrency Web3 Jobs • Blockchain Developer Jobs • Web3 Engineering Jobs • Blockchain Analyst Jobs • Web3 KYC Jobs • Cryptocurrency Legal Jobs • Cryptocurrency Python Jobs • Cryptocurrency Compliance Jobs • Cryptocurrency Senior Jobs • Web3 Operations Jobs • Blockchain Product Manager Jobs • Cryptocurrency Move Jobs • Web3 Manager Jobs • Blockchain Machine Learning Jobs • Blockchain Kubernetes Jobs • Cryptocurrency Data Analyst Jobs • Blockchain Data Jobs • Blockchain NFT Jobs • Cryptocurrency Docker Jobs • Web3 Ai Jobs • Web3 Policy Jobs • Blockchain Full Time JobsAbout MoonPayHi, we’re MoonPay. We’re here to onboard the world to the decentralized economy by making digital money move as universally and effortlessly as the internet.Why?Because crypto, stablecoins and blockchain aren’t just technologies. They’re tools for global financial empowerment. They give people and businesses more control over their money, their digital assets, and their future, opening access to legacy financial systems that have been out of reach for many.What we doMoonPay is a unified payments platform for digital currency. We make it easy for anyone, anywhere, to buy, sell, swap and pay in digital currencies as easy as sending an email. That simplicity is intentional, our focus is reducing complexity so people can participate confidently, without needing to be crypto experts. We power the entire flow between fiat and crypto end to end, with compliance, identity checks, fraud prevention, and settlement all built in. This end-to-end approach reflects how we work internally: with accountability, rigor, and trust built into everything we ship.Proven at scaleTrusted by over 30 million customers and over 500 ecosystem partners, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide. Behind those numbers are millions of real people and organizations relying on MoonPay every day. We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. This is an opportunity to help shape systems, not just scale them. And we’re committed to doing it right. Fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia, because trust and compliance are non-negotiable. But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be. If you believe financial freedom should be for everyone. If you believe in building a fairer, more open financial system - we want you with us. To build systems that benefit all, we need contributions from all, regardless of background. Come build the future of payments and the decentralized economy with MoonPay. Let’s make financial freedom and autonomy the new normal.
USA Salary Range 191,737$ - 235,214$ /year
🌔 About the Opportunity
Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Analyst.
We currently have squads across Crypto / NFT / Payments / FinCrime / KYC / Core Product and others. For this role, the initial focus will be on working on our FinCrime products, while mastering other product areas to then spearhead ML and AI adoption in the company.
🚀 What you will do
Build and integrate ML solutions for evaluating transactions and customers’ behaviour in real-time and offline environments
Support multiple Crypto products with tailored ML solutions to prevent fraudulent activities
Experiment with various modeling techniques on our customer data and see your solution through to production by partnering cross-functionally with product, data, operations, and engineering teams
Analyze large datasets using SQL, Python and Apache Beam to surface features
Help build AI-powered automation tools or pipelines and propose improvements across the company
Own the full lifecycle of ML solutions: data ingestion / processing → feature engineering → model development → deployment → iteration
Maintain and improve our existing codebase, expanding our internal ML libraries and pipelines
💻 What you will be working with/on
Python
ML feature engineering for fraud prevention
Gradient boosting algorithms (e.g. XGBoost/CatBoost)
PyTorch
Polars, Pandas and Numpy
BigQuery
Apache Beam
BigTable
FastAPI
Docker and Kubernetes
Kubeflow and Airflow
Vertex AI
Redis
Pydantic
DataDog
Github
🧑🚀 About You
Experienced in Machine Learning at leading Fintech startups or fast growing tech companies
Confident in developing, releasing and maintaining ML models in a fast paced, iterative environment
Experienced with some of our tech stack, or are confident you can cross train and up skill quickly
Real world experience working with time series data for classification, counterfactual reasoning and adversarial models
Understand data structures, pipelines and big data processing for real-time consumption
Experienced with Cloud Native applications such as Google Cloud or similar e.g. AWS, Azure
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