Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

As a Senior Machine Learning Engineer at Coinbase, you will play a pivotal role in building an open financial system. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities. Your impact extends beyond safeguarding Coinbase, as you’ll have the opportunity to employ machine learning to enhance the overall user experience. This includes imbuing intelligence into recommendations, risk assessment, chatbots, and various other aspects, making our product not only secure but also exceptionally user-friendly.

What you’ll be doing (ie. job duties):

• Investigate and harness cutting-edge machine learning methodologies, including deep learning, Reinforcement Learning, and graph neural networks, to address diverse challenges throughout the company. These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining.
• Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase, fostering a culture of widespread ML utilization.

What we look for in you (ie. job requirements):

• 5+ years of industry experience in ML
• MS degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field
• Strong experience with at least one ML model: DNNs, GNNs, Reinforcement Learning, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
• Solid working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.
• Experience building and deploying production ML systems at scale.
• Exhibit our core cultural values: positive energy, communicate clearly, be curious, and be a builder.

Nice to haves:

• PhD degree strongly preferred with 3+ years of relevant experience
• Experience with Python.
• Experience with data analysis and visualization.

Job ID: GPML05US

• Answers to crypto-related questions may be used to evaluate your onchain experience

LI-Remote

Pay Transparency Notice: The target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, and vision).

Pay Range:

$191,100–$191,100 CAD

Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase’s roles before applying.

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.