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Lead Machine Learning Engineer - Risk AI/MLCoinbase • United States
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Lead Machine Learning Engineer - Risk AI/ML

Coinbase
  • US
    United States
  • US
    United States
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À propos

Are you ready to challenge yourself and harness your capabilities? At Coinbase, we are driven by our mission to enhance economic freedom worldwide. This ambitious goal requires us to push our limits every day as we develop the pioneering onchain platform that will shape the future of the global financial system. We are in search of a unique candidate—someone passionate about our mission, who believes in the transformative power of crypto and blockchain technology to evolve the financial landscape. We want an innovator eager to make a significant impact, someone who thrives under challenges, embraces high-performance cultures, and actively seeks constructive feedback for continuous improvement. If you are someone who confronts tough problems head-on, we would love to meet you. Our work environment is fast-paced and demanding but rewarding; it’s a perfect fit for individuals who aspire to shape the future alongside talented professionals who expect the same level of excellence from you. This role requires in-person collaboration throughout the year, with multiple team and company-wide offsites organized annually to foster connection and teamwork. Attendance is both required and encouraged. We are seeking a
Lead Machine Learning Engineer
to join our Risk AI/ML team, dedicated to developing advanced models that protect our customers and establish Coinbase as the most trusted platform in crypto. Your efforts will actively combat fraud, account takeovers, and scams while enabling future offerings like instant guest checkout and Coinbase Cards. This is a hands-on technical position where you will use our state-of-the-art self-service ML platform to design, deploy, and refine models that protect millions of users. Key Responsibilities: Own a Critical Risk Domain:
Take full ownership of vital areas like Scams or Account Takeover. You will design and lead the strategy for models in this space.
Architect and Design Systems:
Direct the design and structure for new complex risk detection models, covering everything from feature pipeline setup to model selection (e.g., GNNs, LSTMs, LLMs) and efficient serving.
Drive the Technical Roadmap:
Collaborate with Product, Ops, and other stakeholders to convert ambiguous business needs into a definitive technical roadmap. You will serve as the primary voice defining the
  • United States

Compétences linguistiques

  • English
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