Intuit

Tax, accounting, and personal-finance software

Staff Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

A BS, MS, or PhD degree in Computer Science or a related field, or equivalent work experience.
At least 7 years of experience.
Knowledge of data science tools and frameworks, including Python, Scikit, NLTK, NumPy, Pandas, TensorFlow, Keras, R, and Spark.
Knowledge of machine learning techniques, including classification, regression, and clustering.
Understanding of machine learning principles, including training and validation.
Knowledge of data query and processing tools, including SQL.
Knowledge of computer science fundamentals, including data structures, algorithms, performance complexity, and effects of computer architecture on software performance, such as input/output and memory tuning.
Knowledge of software engineering fundamentals, including version control systems and workflows such as Git and GitHub, and the ability to write production-ready code.
Experience deploying highly scalable software that supports millions or more users.
Experience integrating applications and platforms with cloud technologies such as AWS and GCP.
Strong oral and written communication skills, including the ability to conduct meetings, make professional presentations, and explain complex concepts and technical material to non-technical users.

Responsibilities

Work with AI scientists to create and refine features from underlying data and build pipelines to train and deploy models.
Build machine-learning-ready feature pipelines.
Partner with AI scientists to understand, implement, refine, and design machine learning and other algorithms.
Run regular A/B tests, gather data, and draw conclusions about the impact of models.
Monitor and maintain production models.
Work cross-functionally with product managers, AI 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 the company aims to deliver.

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of 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|Job Description

Come join Intuit as a Staff Machine Learning Engineer!

In this role, you’ll work alongside AI 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 AI 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 AI 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, AI 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.
7+ 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

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. 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 fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Mountain View $202,500 - $274,000

About the Company

Intuit

Tax, accounting, and personal-finance software

Intuit provides financial technology tools for consumers and small businesses. Its main products are TurboTax for tax preparation, QuickBooks for accounting, and Mint for personal finance management. These tools typically operate on a subscription basis or behind transaction fees, with features that help users file taxes, track income and expenses, and manage budget and goals. The software ecosystem is designed to connect tax, accounting, and personal finance in one place, improving workflows for individuals, freelancers, and small business owners. Security is a priority, with measures like multi-factor authentication and anti-fraud protections to protect user data. Intuit’s goal is to help people achieve financial well-being by educating users and delivering easy-to-use, reliable financial software across different needs and customer segments.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1983

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