Senior Machine Learning Engineer

Hi, we're MoonPay. We're here to onboard the world to the decentralized economy.
Why? Because crypto and blockchain aren't just technologies—they're tools for global financial empowerment. They give people control over their money, their digital assets, and their future, unlocking opportunities that traditional systems have kept out of reach.
What we do At MoonPay, we're building the infrastructure that powers this new financial system. We make it easy for anyone, anywhere, to buy, sell, and trade crypto using everyday payment methods like cards, Apple Pay, PayPal, Revolut and Venmo. We provide simple tools to send, receive, and manage stablecoins, so anyone can participate in the crypto economy confidently.
Trusted by nearly 30 million customers and over 500 companies, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide.
We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. 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.
Locations Supported  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 · 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 We're looking for people who live our core values, those who strive for excellence and want to leave a lasting legacy  on the global financial system. Our values:
B - Be Hungry L - Level Up O - Own It C - Crypto Curious K - Kaizen
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: We give you the autonomy to choose when to work (and when to switch off)
Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours
Private Healthcare benefits: To protect you and your loved ones
Enhanced parental leave: So you can spend more time with your loved ones without a second thought
Annual training budget: We support your training journey every step of the way
Home office setup allowance: Create the home office of your dreams
Remote working allowance: Those working fully remotely get a little extra for utilities
Monthly budget to spend on our products and zero fee crypto transactions: Cultivate your inner DEGEN
Employee referral programme: Great people know great people, refer them to receive 10K in USDC
Regular remote company offsites: Meet your colleagues regularly for high impact in person sessions and hackathons
Working in a disruptive and fast-growing company where excellence is rewarded
What's it like to work at MoonPay?  At MoonPay, you'll work alongside driven, resourceful people who are passionate about excellence in everything they do. Kaizen is more than just a saying here, it's a mindset. We encourage you to think big, take risks, and push the boundaries of what's possible, knowing you have the support of a team that wants to see you grow. We're listed in the Sunday Times best places to work guide and consistently strive to provide an environment where everyone feels they can their best work.
Whether you're remote or collaborating with teammates around the world, you'll find opportunities here to do the best work of your career while shaping the future of the decentralized economy.
Commitment To Diversity Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.
Please let us know if you require any accommodations for the interview process, and we'll do our best to provide assistance. 
At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That's why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence.MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.
Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other than , please be aware that this is not us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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