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Staff Machine Learning Engineer

Category Software Engineering Location Mountain View, California; San Diego, California; Atlanta, Georgia; New York, New York Job ID 2024-55677

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Company Overview

Intuit is the 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. We never stop working to find new, innovative ways to make that possible.

Job Overview

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.

Qualifications

BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
6+ years of experience
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Understand machine learning principles (training, validation, etc.)
Knowledge of data query and data processing tools (i.e. SQL)
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
Experience deploying highly scalable software supporting millions or more users
Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is 191,00 – 258,500, Bay Area California $191,00 – 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 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.

Career Path

Mobility plays an important role for our engineering community. In addition to vertical growth, our teams offer lateral growth opportunities. Whether it’s working on a different tech stack or product, Intuit will help you get to the next step in your career.