
The leading platform for cryptocurrency trading
Coinbase is the world’s leading exchange for digital currencies, serving over 108 million verified users globally. Headquartered in London, Coinbase has raised $633.6 million in funding and is a key player in the fintech industry, focusing on both B2C and B2B services. The company has evolved to cat...
Coinbase offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a lea...
Coinbase fosters a culture of accessibility and innovation in the cryptocurrency space. The company is committed to evolving with the market and activ...

Coinbase • Remote - USA
Coinbase is hiring a Staff Machine Learning Engineer to optimize operations using machine learning and generative AI. You'll work on real-world problems that impact the financial system. This role requires expertise in machine learning and a passion for blockchain technology.
You have extensive experience in machine learning, with a strong foundation in algorithms and data structures — you've successfully applied ML techniques to solve complex problems in production environments. Your proficiency in Python allows you to implement and optimize models effectively, ensuring they perform well under real-world conditions.
You are passionate about the potential of blockchain technology and cryptocurrency — you understand the transformative impact these technologies can have on the financial system and are eager to contribute to this mission. You thrive in high-pressure environments and are motivated by the challenge of pushing boundaries and innovating.
You actively seek feedback and are committed to continuous improvement — you believe in the power of collaboration and are excited to work alongside high-caliber colleagues who share your dedication to excellence. Your ability to communicate complex ideas clearly makes you a valuable team member, as you can bridge the gap between technical and non-technical stakeholders.
Experience with generative AI technologies is a plus — you have explored how these advancements can be integrated into existing systems to enhance functionality and user experience. Familiarity with cloud platforms and data engineering practices will further strengthen your contributions to the team.
As a Staff Machine Learning Engineer at Coinbase, you will lead initiatives to optimize operations through machine learning and generative AI — your work will directly impact the efficiency and effectiveness of our platform. You will design and implement ML models that address key challenges, ensuring they are scalable and maintainable.
You will collaborate closely with cross-functional teams, including data engineers and product managers, to identify opportunities for ML applications — your insights will help shape the direction of our projects and drive innovation. You will also mentor junior engineers, sharing your knowledge and expertise to help them grow in their careers.
Your role will involve conducting experiments to validate model performance and iterating on designs based on feedback and results — you will be responsible for ensuring that our ML solutions are robust and deliver real value to the organization. You will also stay up-to-date with the latest advancements in the field, continuously seeking ways to apply new techniques and technologies to our work.
At Coinbase, we foster a culture of collaboration and innovation — you will have the opportunity to work with some of the brightest minds in the industry, all dedicated to building the future of finance. We offer flexible remote work arrangements, allowing you to balance your professional and personal life while contributing to our mission.
You will be part of a team that values diversity and inclusion, where your unique perspectives and experiences will be welcomed and celebrated. We encourage you to apply even if your experience doesn't match every requirement — your passion and commitment to our mission are what truly matter.
Join us at Coinbase and be part of a transformative journey that is reshaping the financial landscape — together, we can increase economic freedom in the world.
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