Machine Learning Engineer 2

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, and 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 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 :

This position will be eligible for a cash bonus, equity rewards, and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To promote ongoing pay equity, 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

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