Staff Machine Learning Engineer - (platform)

Staff Machine Learning Engineer

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 team 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. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

We're seeking a Staff Machine Learning Engineer 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:

• Define the technical strategy for a portfolio of projects.
• Design and implement models that protect funds of Coinbase users.
• Fine tune LLMs for automated document processing and risk assessment.
• Create real-time ML pipelines that can detect and prevent risks before they materialize
• Work with experts to translate their domain knowledge into ML features and models
• Build explainable ML systems that can justify their risk assessments
• Collaborate with platform teams to deploy models at scale with high availability and low latency

What we look for in you:

• 8+ years of industry experience in Machine Learning (or PhD+5)
• Prior experience working with Payment Risk/Credit Risk/Account Take Over models.
• MS in Machine Learning, Computer Science, other technical field (PhD preferred)
• Strong developer experience with ability to leverage auto-code generation techniques for ML and scalable distributed applications.
• Strong foundation in modern ML techniques (DNNs, transformers, LLMs, classification)
• Experience building and deploying production ML systems at scale.
• Ability to balance ML model complexity with production requirements
• Strong communication skills to work effectively with domain experts

Nice to have:

• Familiarity with regulatory requirements in financial services
• Knowledge of crypto/blockchain technology

Pay Range: $218,025—$256,500 USD

Commitment to Equal Opportunity Coinbase 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.