
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 Senior Staff Machine Learning Engineer to work on Risk AI/ML initiatives. You'll leverage your expertise in Python and machine learning to build systems that detect and prevent financial threats. This role requires significant experience in AI and ML technologies.
You have 5+ years of experience in machine learning and AI, with a strong background in developing and deploying models that address complex financial challenges. Your expertise in Python is complemented by hands-on experience with frameworks like TensorFlow and PyTorch, allowing you to build robust machine learning solutions. You thrive in high-pressure environments and are eager to tackle the toughest problems in the financial sector, contributing to the mission of increasing economic freedom through innovative technology.
You possess a deep understanding of risk management and fraud detection systems, having previously worked on projects that required the integration of AI into financial applications. Your analytical mindset enables you to interpret data effectively, driving insights that lead to actionable strategies. You are a collaborative team player who values feedback and is committed to continuous improvement, always seeking to enhance your skills and knowledge in the rapidly evolving field of AI.
Experience with blockchain technology and its applications in finance is a plus, as is familiarity with the cryptocurrency landscape. You are comfortable working in a remote-first environment but understand the importance of in-person collaboration during team offsites and meetings. Your passion for the mission of Coinbase aligns with your professional goals, making you a perfect fit for this role.
As a Senior Staff Machine Learning Engineer at Coinbase, you will lead the development of AI-driven solutions that enhance risk management capabilities. You will collaborate with cross-functional teams to design and implement machine learning models that detect and prevent fraud, ensuring the security of our users and the integrity of our platform. Your role will involve analyzing large datasets to identify patterns and trends, using your findings to inform strategic decisions and improve existing systems.
You will be responsible for mentoring junior engineers, sharing your knowledge of machine learning best practices, and fostering a culture of innovation within the team. Your contributions will directly impact the effectiveness of our risk management strategies, helping to safeguard the financial interests of our users.
In addition to technical responsibilities, you will participate in team-wide initiatives aimed at enhancing collaboration and alignment across the organization. Your insights will help shape the future of our AI/ML capabilities, driving business growth while managing financial threats effectively.
At Coinbase, we provide a dynamic work environment that encourages personal and professional growth. You will have the opportunity to work alongside some of the brightest minds in the industry, tackling challenges that have a real-world impact on the financial system. We offer competitive compensation, including salary and equity options, as well as comprehensive benefits to support your well-being.
Our culture emphasizes collaboration and connection, with regular team offsites and opportunities for in-person engagement. We believe in the power of diverse perspectives and encourage you to apply even if your experience doesn't match every requirement. Join us in building the future of finance and making a difference in the world.
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