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Machine Learning Engineer 2
2 months ago
Intuit is a global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper.
Key Responsibilities- Discover and access data sources, import, clean, and prepare them for machine learning.
- Collaborate with data scientists to create and refine features from 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 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 customer benefits.
- BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
- Knowledgeable with Data Science tools and frameworks (Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
- Basic knowledge of machine learning techniques (classification, regression, and clustering).
Intuit provides a competitive compensation package with a strong pay-for-performance rewards approach. The expected base pay range for this position is $132,000 – $178,500, with a Bay Area California range of $136,000 – $184,000, and a Southern California range of $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.
