Staff Machine Learning Engineer - (Platform)

Details

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 are hiring 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.

Responsibilities

• Design and implement multi-modal ML models that can understand and extract information from various document types (IDs, proof of address, etc.)
• Fine tune LLMs for automated document processing and risk assessment.
• Design model for ascertaining user onboarding risk and triggering Know-Your-Customer and Enhance Due Diligence models.
• 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.

Requirements

• 8+ years of industry experience in Machine Learning (or PhD+5).
• 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

• Background in fraud detection or risk modeling.
• Familiarity with regulatory requirements in financial services.
• Knowledge of crypto/blockchain technology.

Benefits

• Medical Plan, Dental and Vision Plan with generous employee contributions.
• Health Savings Account with company contributions each pay period.
• Disability and Life Insurance.
• 401(k) plan with company match.
• Wellness Stipend.
• Mobile/Internet Reimbursement.
• Connections Stipend.
• Volunteer Time Off.
• Fertility Counseling and Benefits.
• Generous Time off/Leave Policy.
• The option of getting paid in digital currency.