Machine Learning Engineer 2

Overview

In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to…

Responsibilities
• 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 and other algorithms.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your 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 $132,000 – 178,500, Bay Area California $136,00 – 184,000, Southern California $122,500 – 165,500 . 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 Intuit®: Careers | Benefits). 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.

Company:

Intuit

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, NLP, United States