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Staff Machine Learning Engineer

Intuit

Salary not specified
Oct 24, 2025
Mountain View, CA, US
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Intuit's AI Research team aims to conduct cutting-edge research in AI to influence its fintech offerings and establish Intuit as a global leader in AI, ultimately powering prosperity worldwide. The role focuses on advancing the state of the art in fundamental AI, particularly in generative AI, deep learning, and optimization, to develop transformative capabilities for businesses and consumers.

Requirements

  • 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)

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.
  • Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

Other

  • BS, MS, or PhD degree in Computer Science or related field
  • 6+ years of experience
  • Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
  • 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