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# Machine Learning Engineer, Credit Risk

- **Company:** Intuit Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $171,000.0 - $231,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Application Integration Architecture, Cloud Computing, Nvidia CUDA, Data Structures, R (Programming Language), Python (Programming Language), Machine Learning, NLTK (NLP Analysis), NumPy, Object-Oriented Software Development, Tensorflow, Scala (Programming Language), SQL Databases, Web Services, Data Processing, Apache Spark, cuDNN, Keras, Git, Pandas, Scikit Learn, Production Code, Software Performance, Software Version Control
- **Published:** October 8, 2026
- **Apply:** https://intuit.avature.net/externalCareers/JobApplication?pipelineId=23904

## About the Role

* 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

## 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