This role pays less than
74%
of similar roles. Most pay
$198,268–$254,750
— the shaded band above.
At the midpoint, this role pays about
$201k
versus about
$227k
for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
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
222 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 199 roles with salary data.
As a Senior Machine Learning Engineer on the Smart Money Services team, you will work within a vibrant group of data scientists to detect and prevent fraud and financial risk for money movement events. You will conceive, code, and deploy machine learning models at scale while developing and maintaining web services that orchestrate various ML functions. Your daily responsibilities include data wrangling, feature engineering, building training pipelines, and performing statistical analysis through regular A/B testing. You will utilize a technical stack including Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark, and SQL. Additionally, you will leverage experience in REST API design, Scala or Java, Git version control, GPU acceleration via CUDA and cuDNN, and AWS cloud integration to solve complex problems regarding financial risk and fraud prevention within the fintech domain.
What does a Machine Learning Engineer earn in California?
Median $231150 from 200 postings across 30 companies.