Staff Machine Learning Engineer
Intuit
At a glance
AI generatedAs a Staff Machine Learning Engineer at Intuit, you will join a dynamic team of data scientists to develop and deploy large-scale machine learning models using cutting-edge tools. Your daily tasks include discovering and cleaning data sources, creating features for models, building training pipelines, conducting A/B tests, and collaborating with product managers and engineers to communicate results effectively. You should be proficient in Python, Scikit-learn, TensorFlow, Keras, Spark, and have a solid understanding of machine learning principles and techniques such as classification and regression. Additionally, experience with GPU acceleration, cloud technologies like AWS or GCP, and deploying highly scalable software for millions of users is essential. This role involves tackling complex business problems in the financial technology space, requiring both technical expertise and strong collaboration skills.
Skills
What you'll do
What we're looking for
Market check
This $197,000–$266,500 range sits above 66% of similar postings on FindRole.
Peer median band
$161,800–$260,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$177,253–$247,875
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
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 112 open roles on FindRole.
Listed pay typically runs $202,500–$274,000 across 102 roles with salary data.
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