Senior Machine Learning Engineer
Hi, we’re Moon
Pay. 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.
What We Do At Moon
Pay, 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, Pay
Pal, 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.
? Locations Supported
? About the Opportunity
Our engineering discipline builds the technology that enables Moon
Pay 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 / Fin
Crime / KYC / Core Product and others. For this role, the initial focus will be on working on our Fin
Crime 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/Cat
Boost) - Py
Torch - Polars, Pandas and Numpy
- Big
Query - Apache Beam
- Big
Table - Fast
API - Docker and Kubernetes
- Kubeflow and Airflow
- Vertex AI
- Redis
- Pydantic
- Data
Dog - Git
Hub
? ? 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 Moon
Pay - 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 Moon
Base, 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
- growing company where excellence is rewarded
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 Moon
Pay 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. Moon
Pay 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.
Moon
Pay does not request an AI‑led interview without seeing a recruiter or team member from Moon
Pay 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 Moon
Pay but from an email address ending in anything other than @moonpay.com, please be aware that this is not us.
- Informações detalhadas sobre a oferta de emprego
Empresa: MoonPay Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 18. 11. 2025
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