Machine Learning Engineer, Coinbase
Platform
$147.9-174k
Plus target bonus and target equity
The world’s leading exchange for digital currencies
Open for applications
The world’s leading exchange for digital currencies
1001+ employees
Open for applications
$147.9-174k
Plus target bonus and target equity
1001+ employees
Company mission
Their mission is to create an open financial system for the world and to be the leading global brand for helping people convert digital currency into and out of their local currency.
Role
Who you are
- You’ve got positive energy. You’re optimistic about the future and determined to get there
- You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0
- You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow
- You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job
- You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission
- You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone
- 2+ yrs of industry experience as a Machine Learning Engineer
- Solid software engineering skills
- Experience with coding on ML platforms (e.g., Tensorflow, PyTorch)
- Experience with basic ML techniques (e.g., supervised and unsupervised learning)
- Willingness to learn and adapt to new technologies and challenges
Desirable
- Master's degree or PhD in Machine Learning, Computer Science or related field
- Interest in DNNs, GANS, GNNs and Time Series modeling is a plus
What the job involves
- We are looking for an aspiring Machine Learning Engineer to join our team
- The Coinbase Machine Learning team is committed to developing sophisticated ML models that make our platform more secure, expand usage of Coinbase through personalized recommendations, and improve the user experience for our customers
- Our mission is to keep building scalable, adaptive, blockchain aware ML systems that help our users explore and discover new use cases for Crypto on Coinbase and on the blockchain
- The Machine Learning org is a part of our Platform Product Group
- The Platform Product Group’s mission is to build a trusted, scalable, and compliant platform to maximize velocity, efficiency and quality
- They build the foundations that can be used by multiple products and teams at Coinbase so that users can have a consistent and high-quality experience
- Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale
- Contribute to our ML models for Risk, work at the intersection of Blockchain and AI technologies
- Work with our senior engineers and collaborate with our product partners to identify and solve new use cases for ML on blockchain
Our take
Coinbase allows its users to create their own crypto wallets and start buying or selling cryptocurrencies by connecting with their bank accounts. It also provides a series of merchant payment processing systems and tools that support transactions with many popular websites.
Coinbase has recently made a big push to broaden its services away from consumers and they want to cater services from institutional investors.
Coinbase currently offers one of the largest selection of cryptocurrency assets - over 10,000 but does not allow trading on all of them. The company wisely keeps such offerings to the most stable assets however, the list is always expanding. Coinbase see a much wider adoption of cryptocurrency and tokens in the future, and plan to expand potentially to millions in the future. It speaks volumes to Coinbase's goals of wider global adoption that former UK Finance Minister George Osborne is now an Advisor at the company.
Coinbase's lofty ambitions paid off in it being the first crypto listing on the NASDAQ. The company has weathered several bull and bear runs in the cryptocurrency industry through diversification of its offerings, including wallet-as-a-service technology for crypto platforms, and has acquired healthy coffers of cryptocurrency assets. The aim is to eventually operate independently of the volatility surrounding cryptocurrencies.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Oct 2018
$300m
GROWTH EQUITY VC
Oct 2018
$108.1m
SERIES D
Total funding: $633.4m
Company benefits
- 12 weeks maternity/paternity leave
- Vision and dental care
- Commuter benefits
- Learning and development budget
- Unlimited paid time off policy
- Work from home opportunities
- Health insurance
Company values
- Clear Communication - Share information efficiently, improving collaboration and productivity. Practice active listening while. Being candid and kind
- Positive Energy - Be optimistic about the future and determined to get there. Co-create solutions and work together to get there
- Continuous Learning - We view every situation as an opportunity to learn, We value giving and receiving regular feedback
- Efficient Execution - We complete high quality work quickly by working smarter, not harder. We prefer automation over manual work
- Act like an owner: We take 100% responsibility for achieving the mission. We seek to improve all aspects of our company even in ways that are not explicitly part of our job. We run through brick walls.
- Customer focus: We are deeply focused on solving our customers’ problems with technology, by enabling them to acquire, store and use crypto. We strive to be the easiest to use, most trusted and most secure platform. In every decision we make, we ask, “How does this create more value for our customers?”
- Repeatable innovation: We are builders, leveraging technology to improve the world, constantly shipping ideas vs just discussing them. We know that companies must continually reinvent themselves to avoid stagnation. We have a high tolerance for failure, investing 10% of our resources in venture bets that are uncomfortably ambitious
Company HQ
Civic Center, New York, NY
Articles
Leadership
Brian Armstrong
(CEO)Previously founded UniversityTutor.com, also worked as a Software Engineer at AirBnb
Alessia Haas
(CFO)Previously held various head positions, including VP at GE Healthcare, Director at Merrill Lynch and CFO at CIT Bank and Oz Management
People progressing
Joined as a Compliance Analyst, promoted to Compliance Partnerships Senior Associate in 15 months. 2 promotions later, she is now a Financial Crimes & Compliance Manager.
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