Machine Learning Engineer - Platform

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.

We're hiring Machine Learning Engineers to revolutionize how we optimize our operations using ML and GenAI. This is a unique opportunity to apply the latest advances in ML and GenAI to real-world problems that directly impact millions of users and the future of digital finance.

Our AI teams are dedicated to building intelligent systems that protect our platform while ensuring a seamless experience for legitimate users. We are transforming traditional tasks such as manual document review and risk assessment into an automated, scalable system powered by state-of-the-art machine learning.

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

• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale
• Contribute to our ML models and 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 

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

• 2+ yrs of industry experience as a Machine Learning Engineer
• M.S in ML/CS/EE or BS with equivalent ML experience
• Solid software engineering skills
• Solid foundation in modern ML techniques (e.g., DNNs, transformers, LLMs, classification)
• Experience with coding on ML platforms (e.g., Tensorflow, PyTorch)
• Willingness to learn and adapt to new technologies and challenges

Nice to Have:

• Knowledge of crypto/blockchain technology

Job ID: GPML04US

#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).

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.

Commitment to Equal Opportunity

Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view the Know Your Rights notice here.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. 

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

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