Overview

MoonPay is building the infrastructure for the decentralized economy. We power easy crypto onboarding worldwide and provide tools to buy, sell, and manage crypto with everyday payment methods. We are licensed and regulated across the US, UK, EU, Canada, and Australia, and we are growing a consumer app to make crypto accessible and usable for everyone. We are looking for contributors who share our values and want to help shape the future of payments and decentralization.

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

• 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

What’s in it for you

• Competitive salary package
• Equity package: We believe financial freedom starts with our employees, so all employees have ownership at MoonPay
• Pay for performance equity bonus: Those who drive outsized outcomes receive outsized rewards
• Unlimited holidays: Autonomy to choose when to work
• Hybrid working schedule: Work fully remotely or from a Moonbase
• Private Healthcare benefits: To protect you and your loved ones
• Enhanced parental leave: Time with your loved ones
• Annual training budget: Support your training journey
• Home office setup allowance: Create the home office you need
• Remote working allowance: Extra for utilities
• Monthly budget to spend on our products and zero fee crypto transactions
• Employee referral programme: Refer great people and earn rewards
• Regular remote company offsites
• Working in a disruptive and fast-growing company where excellence is rewarded

Commitment To Diversity

We value diverse backgrounds and encourage applications from all qualified individuals. We provide accommodations for interviews and are an equal opportunity employer. Please inform our Talent Team if you need assistance during the application process.

Please be aware that MoonPay does not request an AI-led interview without a video call with a recruiter or team member, and we will never ask for money or personal identification documents during the interview process. If you receive a suspicious email, verify the sender domain is @moonpay.com.