Staff Machine Learning Engineer

  • Mountain View, CA
  • Posted 60+ days ago | Updated 11 hours ago

Overview

On Site
USD 191,000.00 - 258,500.00 per year
Full Time

Skills

Artificial Intelligence
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Algorithms

Job Details

Come join Intuit as a Staff Machine Learning Engineer!

In this role, you'll work alongside data scientists and machine learning engineers to create AI-powered experiences. You'll be expected to help conceive, code, and deploy models at scale using the latest industry tools. Important skills include creating data pipelines, developing and deploying models, and machine learning operations.

Responsibilities
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
  • Build 'machine learning ready' feature pipelines.
  • Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
  • Run regular A/B tests, gather data, and draw conclusions on the impact of your models.
  • Monitor and maintain production models.
  • Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
  • Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $191,000 - 258,500, Bay Area California $191,000 - 258,500, Southern California $180,000 - 243,500. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at . Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.