Job details

Machine Learning Engineer

About MoonPay 🌖💸

Hi, we’re MoonPay. We’re here to onboard the world to Web3.

Why? Because we think Web3 is a unique and democratising technology. It gives people back control of their money, digital identity, data, and property like nothing else before it.

What we do

We’re the leading infrastructure company in Web3. This means we offer our partners everything from payment solutions (we call them 'Ramps') to minting software for digital collectibles, like NFTs. And over 20 million people around the world now trust our products — just take a look on Trustpilot.

We’re also big on collaborations. And we've worked on stunts, drops, and partnerships with some of the world's most prestigious and forward-thinking brands.

But that’s not all. We have also built our own consumer app because we wanted to see if we could build a better Web3 account. It’s taken off in a big way, and we're working hard to continually improve it and to strive for perfection.

So whatever your background, we’re sure there’s something for you here. Come help us build the future of Web3 and digital ownership.

About the Opportunity ✍️

We’re looking for a seasoned Machine Learning Engineer who understands the full life cycle of training machine learning models and putting them into production. This person can help us build, expand, and maintain our machine learning infrastructure and ecosystem.

In this role, you’ll be a part of the Data team. You’ll help implement machine learning systems that have significant impact on critical functions of the business. In your work, you’ll collaborate closely with MoonPay’s data scientists and operate cross-functionally with Engineering, Ops, Product, Fraud Prevention, and more.

As an ML Engineer, we’ll be looking to you to assess MoonPay’s current ML design, come up with a strategy to effectively expand and improve on ML implementations, and play a key role in ensuring that our ML systems continue to operate effectively.

This role will be hybrid, and will require you to spend some portion of your time in our office in one of these locations.

What you will do

Consult with data scientists on training machine learning models (after all, in a production environment, there are implications to model choices that need to be considered)
Provide a strategic vision on how to make machine learning a cornerstone to MoonPay’s business
Support additions and improvements to the ML infrastructure, including getting your hands dirty with data engineering and DevOps engineering
Design systems to meet throughput and latency requirements
Implement NFRs (Non-Functional Requirements) to ensure a high degree of system reliability
Implement and participate in practices (such as an on-call rotation) to ensure the continuous delivery of machine learning services

About You

You’ve been involved in ML before. In the past, you’ve worked closely with data scientists to help them bring experimental features and models to production. You know your way around implementing machine learning systems in a safe and reliable manner, you’re familiar with cloud infrastructure, you have experience with getting complex systems set up in a stable manner,, and you’re aware of potential pitfalls in machine learning systems that should be navigated around. Now, you’re up for a challenge and are interested in having a significant impact on the success of MoonPay. You’re looking for an opportunity to stretch your ML capabilities to help a vibrant business scale up and scale out its machine learning capabilities.

What you will need…
Prior experience with productionising ML systems is a must.
Prior experience training machine learning models is highly desirable.
Advanced knowledge of Python and familiarity with SQL.
Good working knowledge of Terraform and Terragrunt for Infrastructure as Code (IaC)
A solid understanding and hands-on experience with real-time and event-driven systems such as Kafka, Kafkaconnect, Redpanda, Pub/Sub.
Solid experience with Kubernetes, docker, deployment types (canary, blue-green etc.)
Experience with setting up CI/CD systems using tools such as CircleCI, drone, Github actions, ArgoCD.
Working experience with Big Data technologies such as Spark, Dataflow, and Flink.
Experience with system design - keeping performance and efficiency in mind, whilst aware of trade-offs.
Experience applying software engineering rigor to ML, including CI/CD/CT, unit-testing, automation etc.
Hands-on experience with some MLOps tools such as KubeFlow, DVC, MLFlow.
Experience with cloud providers, such as GCP, AWS, or Azure (we are a GCP house)
Prior experience or a strong interest in FinTech, crypto, or web3 preferred.

Most importantly, though, you will embody the core principles that everyone here at the MoonPay lives by. Our “BLOCK Values” are at the heart of everything we do - and they are…

B - Be Hungry

L - Level Up

O - Own It

C - Crypto Curious

K - Kaizen

MoonPay Perks

Equity package 📈

Unlimited holidays 🏝

Paid parental leave 🍼

Annual training budget 💻

Home office setup allowance 🪑

Monthly budget to spend on our products 💰

Working in a disruptive and fast-growing industry where the possibilities are endless 🚀

Freedom, autonomy and responsibility 💪

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.

Commitment To Diversity

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 @moonpay.com, please be aware that this is not us.

Average salary estimate

$100000 / YEARLY (est.)

min

max

$80000K

$120000K

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What You Should Know About Machine Learning Engineer, MoonPay

At MoonPay, we're on a mission to onboard the world to Web3, and we're looking for an experienced Machine Learning Engineer to join our dynamic Data team. In this engaging role, you will delve into the exciting full life cycle of training machine learning models and getting them into production. Collaborating closely with our talented data scientists, you'll help strategize and enhance our machine learning infrastructure to create robust systems that influence key business functions. Your expertise will guide us in refining our existing machine learning designs and developing new implementations, ensuring our systems remain reliable and efficient. With plenty of opportunities for collaboration across Engineering, Ops, and Product teams, your contributions will play a pivotal role in shaping the future of MoonPay's machine learning capabilities. You’ll also have the chance to roll up your sleeves, getting involved in data engineering and DevOps tasks to support our infrastructure. If you're ready to take on a challenging role where your skills can make a significant impact and help us build the future of digital ownership, we can’t wait to meet you!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at MoonPay

What does a Machine Learning Engineer at MoonPay do?

As a Machine Learning Engineer at MoonPay, you'll focus on implementing machine learning models and systems in production environments. This involves collaborating with data scientists to fine-tune models, enhance our ML infrastructure, and ensure systems run effectively and reliably.