ai analyst backend bitcoin blockchain community manager crypto cryptography cto customer support dao data science defi design developer relations devops discord economy designer entry level erc erc 20 evm front end full stack gaming ganache golang hardhat intern java javascript layer 2 marketing mobile moderator nft node non tech open source openzeppelin pay in crypto product manager project manager react refi research ruby rust sales smart contract solana solidity truffle web3 py web3js zero knowledge
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
MoonPay | Barcelona, Spain | $126k - $127k | |||
Bluesky | Remote | $115k - $180k | |||
Bluesky | Remote | $123k - $180k | |||
Truflation | Remote | $90k - $180k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Truflation | Remote | $105k - $180k | |||
Truflation | Remote | $43k - $54k | |||
Heretic/Arcade | San Francisco, CA, United States | $21k - $70k | |||
Genies | San Mateo, Portugal | $165k - $230k | |||
Brave | London, United Kingdom | $18k - $80k | |||
Worldcoinorg | New York, NY, United States | $105k - $150k | |||
Menyala | Singapore, Singapore | $129k - $132k | |||
Menyala | Singapore, Singapore | $129k - $132k | |||
Menyala | Singapore, Singapore | $129k - $132k | |||
Coinbase | Remote | $175k - $237k | |||
Kraken | United States | $63k - $87k |
Machine Learning Engineer
London / Barcelona / Cape Town / Krakow / Bucharest / Lisbon / Madrid
Data – Data Engineering /
Hybrid
Apply for this job
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
- 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.
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.
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.
Apply for this job
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.