Intuit

Tax, accounting, and personal-finance software

Senior Machine Learning Engineer - Credit Risk

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 6 years of experience.
Knowledge of data science tools and frameworks, including Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, and Spark.
Understanding of machine learning principles, including training and validation.
Demonstrated experience with web services, such as REST, and API design.
Experience with object-oriented languages; Scala, Python, or Java preferred.
Knowledge of data query and data processing tools, such as SQL.
Knowledge of computer science fundamentals, including data structures, algorithms, performance complexity, and the implications of computer architecture on software performance, such as I/O and memory tuning.
Knowledge of software engineering fundamentals, including version control systems and workflows such as Git, and ability to write production-ready code.
Experience deploying highly scalable software supporting millions or more users.
Experience with GPU acceleration, such as CUDA and cuDNN.
Experience integrating applications and platforms with cloud technologies, such as AWS.
Strong oral and written communication skills.
Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users.

Responsibilities

Help conceive, code, and deploy data science models at scale using industry tools.
Develop and maintain web services for the AI team that orchestrate machine learning functions.
Perform data wrangling, feature engineering, model development, and testing metrics.
Discover data sources, obtain access, import and clean data, and prepare it for machine learning.
Work 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 about model impact.
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.

Desired Qualifications

Experience with object-oriented languages such as Scala, Python, or Java is preferred.

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 the Fintech Risk AI/ML credit risk team(Team Apollo) as a Senior Machine Learning Engineer. Team Apollo is responsible for detecting and preventing credit risk for all lending money movement Services products.

Responsibilities

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
Help develop and maintain web services for the AI team which orchestrate various ML functions
Important skills include data wrangling, feature engineering, developing models, and testing metrics
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 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.ePython, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark)
Understand machine learning principles (training, validation, etc.)
Demonstrated experience with web services (e.g. REST) and API design.Experience with any of the following Object Oriented Languages (OOD): Scala, Python, Java preferred
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) and workflows, and ability to write production-ready code
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (i.e CUDA and cuDNN)
Experience with integrating applications and platforms with cloud technologies (i.e AWS)
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 may 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 $171,000 - $231,500

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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