Staff Machine Learning Engineer - Platform (Core Automation)

📋 Description

• • Join Coinbase's Core Automation Team as a Staff Machine Learning Engineer, a pivotal role focused on building the future of the onchain platform and the global financial system.
• • This position is instrumental in driving innovation and enhancing productivity across the organization by developing cutting-edge AI infrastructure and automation solutions.
• • You will be at the forefront of leveraging state-of-the-art AI models, including large language models (LLMs) and deep learning techniques, to tackle complex challenges.
• • Your work will directly contribute to streamlining operations for customer support and compliance teams, ultimately creating more meaningful customer impact and breaking down barriers to cryptocurrency adoption.
• • Collaborate closely with management and stakeholders to define strategic roadmaps for AI initiatives, translating high-level goals into actionable quarterly plans.
• • Take ownership of project execution, expertly managing priorities, deadlines, and deliverables to ensure successful outcomes.
• • Develop high-quality, robust, and well-tested Python code to address critical product and business needs, ensuring reliability and maintainability.
• • Design and implement scalable, secure, and efficient systems utilizing the latest AI/ML technologies and adhering to industry best practices.
• • Play a key role in mentoring and developing junior team members, sharing expertise on design principles, coding standards, and the adoption of AI productivity tools.
• • Proactively troubleshoot and resolve complex technical issues, focusing on improving system reliability, scalability, and overall operational efficiency.
• • Ensure the security, scalability, and architectural integrity of all feature designs through rigorous reviews and collaboration across multiple teams.
• • Contribute to the company's mission of increasing economic freedom in the world by applying your technical skills to build the emerging onchain platform.
• • Engage with diverse and extensive data sources, including valuable blockchain data, to extract insights and drive the development of intelligent solutions.
• • Shape the future of AI-powered customer interactions by building systems that are intelligent, responsive, and user-centric.
• • Embrace a culture of continuous learning and improvement, actively seeking feedback to enhance your skills and contributions.
• • Work within a highly driven and innovative team environment, surrounded by colleagues who excel in their respective disciplines.
• • Contribute to a remote-first work environment while understanding the importance of in-person collaboration through multiple annual offsites designed to foster connection and alignment.
• • Drive the adoption of advanced machine learning techniques to solve challenging problems that impact millions of users globally.
• • Architect and implement machine learning pipelines that are both efficient and scalable, capable of handling large volumes of data.
• • Evaluate and integrate new AI/ML technologies and frameworks to stay at the cutting edge of the field.
• • Contribute to the strategic direction of AI and automation within Coinbase, influencing the technical roadmap and priorities.
• • Ensure that all developed solutions are not only performant but also secure, compliant, and ethically sound, aligning with Coinbase's commitment to responsible AI practices.
• • Foster a collaborative environment where knowledge sharing and best practices are paramount.
• • Drive the technical vision for core automation initiatives, ensuring alignment with broader company objectives.
• • Lead by example in technical excellence, code quality, and problem-solving.
• • Contribute to the development of a robust ML platform that empowers other teams within Coinbase.
• • Analyze and interpret complex datasets to inform model development and strategic decision-making.
• • Build and maintain strong relationships with cross-functional teams, including product, engineering, and operations, to ensure successful project delivery.
• • Champion the use of data-driven approaches to solve business problems and enhance user experiences.
• • Drive the end-to-end lifecycle of machine learning models, from ideation and development to deployment and monitoring.
• • Contribute to a culture that values innovation, ownership, and a relentless pursuit of excellence in building the future of finance.