This role pays more than
51%
of similar roles. Most pay
$162,812–$246,150
— the shaded band above.
At the midpoint, this role pays about
$211k
versus about
$204k
for comparable roles.
Based on 239 similar postings.
Employer
About Coinbase
Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology
Coinbase currently has
59 open roles
on FindRole.
Listed pay typically runs
$193,970–$228,200
across 53 roles with salary data.
As a Staff Machine Learning Analytics professional on the Growth & Risk team at Coinbase, you will play a pivotal role in defining and implementing machine learning solutions to combat sophisticated fraud. Your responsibilities include setting the data and feature strategy for fraud detection, owning the end-to-end feature engineering pipeline, diagnosing infrastructure gaps, and partnering with engineers to translate insights into production systems. You will also mentor junior team members and collaborate cross-functionally to drive business decisions based on ML findings. Ideal candidates have 8+ years of experience in machine learning analytics, particularly in risk or payments domains, with deep expertise in Spark, Python, and big data ML. Familiarity with modern feature stores like Tecton is a plus, as is an understanding of the evolution of the ML industry to inform architectural decisions. This role demands a high-precision approach to fraud detection, optimizing for sensitivity and accuracy on critical traffic.