Senior Machine Learning Engineer

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October 7

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MoonPay

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Crypto • Fintech • Web 3

MoonPay is a leading platform in the cryptocurrency industry, providing users with a seamless way to buy, sell, and swap cryptocurrencies. With a focus on user experience, MoonPay allows individuals to integrate various payment methods, such as Apple Pay, Google Pay, and PayPal, to quickly purchase crypto assets. MoonPay is decentralized, offering non-custodial services in over 180 countries and supporting more than 50 crypto assets. The platform prioritizes security and compliance, employing AES-256 encryption and adhering to standards like PCI-DSS and ISO certifications. Additionally, MoonPay facilitates easy management of digital wallets and collectibles, ensuring users can monitor their portfolio across its 300+ partners.

201 - 500 employees

Founded 2018

₿ Crypto

💳 Fintech

🌐 Web 3

💰 $87M Series A on 2022-04

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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