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
In-Person
5,000+ Employees
3+ years of experience
AI · Finance

Description For Machine Learning Engineer 2

Join Intuit, a leading global financial technology platform serving approximately 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp. As a Machine Learning Engineer 2, you'll be embedded within a dynamic team of data scientists, focusing on conceiving, coding, and deploying data science models at scale. Your role will encompass everything from data wrangling and feature engineering to model development and metrics testing.

You'll be responsible for discovering and preparing data sources, collaborating with data scientists on feature creation and model deployment pipelines, and implementing sophisticated machine learning algorithms. The position requires expertise in model prototyping, productionalization, and enhancement, along with the ability to work cross-functionally with product managers and engineers.

The ideal candidate will have strong technical skills in Python and various data science frameworks, combined with a solid understanding of machine learning techniques. You'll be expected to run A/B tests, perform statistical analysis, and communicate results effectively to both peers and leaders. This role offers the opportunity to work on cutting-edge technology while directly impacting millions of customers' financial lives.

Working at Intuit means joining a company committed to innovation and prosperity for all. With competitive compensation including base pay, bonuses, and equity rewards, plus comprehensive benefits, this role offers both professional growth and financial stability. You'll be part of a team that's constantly pushing boundaries to find new ways to serve customers better through technology.

Last updated 10 days ago

Responsibilities For Machine Learning Engineer 2

  • Discover data sources, get access to them, import them, clean them up, and make them 'machine learning ready'
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models
  • Partner with data scientists to understand, implement, refine and design machine learning algorithms
  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on model impact
  • Work cross functionally with product managers, data scientists and product engineers
  • Explore new technology shifts for 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)
  • Experience in model prototyping and productionalization
  • Ability to build and enhance machine learning models
  • Experience with machine learning tools development

Benefits For Machine Learning Engineer 2

Equity
Medical Insurance
401k
  • Equity
  • Medical Insurance
  • 401k

Interested in this job?

Jobs Related To Intuit Machine Learning Engineer 2

Software Engineer 2 AI

Intuit is seeking an AI/ML Engineer to transform Marketing Platforms with AI, build ML models/pipelines, and implement AI native apps for the Customer Growth and Engagement team.

Technical Program Manager, AI Innovation and Research, Imaging

Lead AI Innovation and Research initiatives in Imaging at Google, managing the development of AI-powered photography features and products.

Technical Curriculum Developer III, AI/ML, Cloud Learning

Technical Curriculum Developer position at Google focusing on AI/ML and cloud technologies, combining educational content development with machine learning expertise.

Product Manager II, Search Personalized Quality

Product Manager II role at Google focusing on Search Personalized Quality, guiding product development and working cross-functionally to improve search experiences for billions of users.

Software Developer III, Machine Learning, Google Research

Join Google Research as a Software Developer III in Machine Learning, developing intelligent systems and next-generation technologies that impact billions of users worldwide.