Senior Machine Learning Engineer, Smart Money Services, Fraud & Financial Risk
Intuit
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 53% of similar roles. Most pay $206,175–$254,750 — the blue band above. At the midpoint, this role pays about $238k versus about $230k for comparable roles.
Based on 240 similar postings.
Employer
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has 255 open roles on FindRole.
Listed pay typically runs $202,500–$274,000 across 236 roles with salary data.
Most-posted roles
At a glance
The Staff Machine Learning Engineer joins the Fintech Risk AI/ML Smart Money Services team to detect and prevent fraud and financial risk for all Money Movement events. In this role, you will lead the conception, coding, and deployment of data science models at scale while developing and maintaining web services that orchestrate various machine learning functions. You will partner with data scientists to build robust pipelines, extract data from complex sources, and run regular A/B tests. Key technical requirements include proficiency in Python, Scala, or Java, along with experience using Scikit, Pandas, TensorFlow, Keras, and Spark. You must demonstrate expertise in supervised and unsupervised learning, Generative AI, and GPU acceleration using CUDA and cuDNN within AWS cloud environments.
What does a Machine Learning Engineer earn in California?
Median $235750 from 200 postings across 34 companies.
Skills
What you'll do
What we're looking for
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