[Remote] Staff ML Risk Analytics

Note: The job is a remote job and is open to candidates in USA. Coinbase is a company focused on increasing economic freedom, and they are seeking a Staff Machine Learning Analytics professional for their Growth & Risk team. The role involves defining ML data strategies for fraud detection, building feature engineering pipelines, and partnering with cross-functional teams to enhance fraud prevention systems.ResponsibilitiesDefine the ML data and feature strategy for fraud detection, determining what data needs to enter our systems so our models can take intelligent, high-accuracy action on a small fraction of traffic where intervention matters mostOwn the end-to-end feature engineering pipeline identifying, building, validating and promoting features that drive measurable improvements in ATO and scam ML performanceDiagnose gaps between current tooling infrastructure and the solutions needed, and drive the roadmap to close them leveraging your understanding of how the industry has evolved to make the right architectural callsPartner with Machine Learning Engineers to translate analytical insights into production-ready ML systems, ensuring models are instrumented, monitored, and continuously improvedSet technical direction for the ML Analytics function within Growth & Risk, mentoring junior team members who need a senior practitioner to define the approach and translate direction into executionPartner cross-functionally with Product Managers and Risk analysts to surface fraud signals and translate ML findings into business-impacting decisionsServe as the team's institutional knowledge resource on ML industry evolution — helping the organization understand why certain solutions work, what historical architectural decisions mean for current tooling, and where the industry is headed nextSkills8+ years of hands-on experience in machine learning analytics, data science, or a related technical field with meaningful experience applied to risk, fraud, or payments problemsDeep, practitioner-level expertise in Spark, Python, and big data ML this is the core stackProven experience in feature engineering for ML models, including identifying the right signals, building pipelines, and validating feature quality at scaleHolistic understanding of how the ML industry has evolved over the past decade from Hadoop-era big data to modern feature stores like Tecton and the ability to apply that knowledge to close infrastructure gapsA curated, high-precision approach to ML problems: you understand that in fraud and risk, you are optimizing for sensitivity and accuracy on a small fraction of high-stakes traffic not the broad-coverage, high-volume approach used in growth or adsA passion for fighting fraud and abuse, and the curiosity to self-drive investigations, identify patterns, and find the root causeDemonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and qualityBackground in risk or payments ML is strongly preferred candidates who have operated in this domain understand the problem framing intuitivelyExperience with modern ML feature stores (Tecton, Feast, or equivalent)Prior work at FinTech companies, payments platforms, or risk solution vendorsFamiliarity with crypto-specific fraud vectors including ATO, scam flows, and onchain transaction patternsBenefitsEquity and bonus eligibilityBenefits (medical, dental, vision, 401(k))Coinbase is also committed to providing reasonable accommodations to individuals with disabilitiesParticipates in the E-Verify program in certain locations, as required by lawCompany OverviewCoinbase is a crypto exchange and wallet platform that allows merchants and consumers to buy, sell, and store digital currencies. It is a sub-organization of Coinbase. It was founded in 2012, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.coinbase.com.