Machine Learning Engineer 2

Global financial technology platform powering prosperity through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp
$122,500 - $184,000
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
2+ years of experience
Finance · AI

Description For Machine Learning Engineer 2

Intuit, a leading global financial technology platform, is seeking a Machine Learning Engineer 2 to join their innovative team. This role offers an exciting opportunity to work with a diverse team of data scientists, contributing to the development and deployment of machine learning models at scale.

The position involves working with cutting-edge technology to support Intuit's mission of powering prosperity for approximately 100 million customers worldwide. As a Machine Learning Engineer, you'll be deeply involved in the entire ML lifecycle, from data wrangling and feature engineering to model deployment and optimization.

Key aspects of the role include collaborating with data scientists to create and refine features, implementing machine learning algorithms, and conducting A/B tests to measure impact. You'll work with popular data science tools and frameworks, including Python, Scikit-learn, NLTK, TensorFlow, and Spark.

The compensation package is highly competitive, with base salary ranges varying by location: New York ($132,000 – $178,500), Bay Area California ($136,000 – $184,000), and Southern California ($122,500 – $165,500). The package includes cash bonuses, equity rewards, and comprehensive benefits.

This role offers an excellent opportunity for someone with a strong technical background in computer science or related fields, who is passionate about machine learning and wants to make a significant impact in the financial technology sector. You'll be working with a company that values innovation, collaboration, and is committed to helping customers achieve financial prosperity.

Last updated a month ago

Responsibilities For Machine Learning Engineer 2

  • Discover data sources, import, clean, and prepare them for machine learning
  • Work with data scientists to create and refine features and build deployment pipelines
  • Partner with data scientists to implement and refine machine learning algorithms
  • Run A/B tests, perform statistical analysis, and evaluate model impact
  • Work cross-functionally with product managers and engineers
  • Explore new technologies and their potential customer benefits

Requirements For Machine Learning Engineer 2

Python
  • BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience
  • Knowledge of Data Science tools and frameworks (Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark)
  • Basic knowledge of machine learning techniques (classification, regression, and clustering)

Benefits For Machine Learning Engineer 2

Medical Insurance
401k
  • Cash bonus
  • Equity rewards
  • Benefits package

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