> Markdown version of [/jobs/ext/542153-staff-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/542153-staff-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Machine Learning Engineer

- **Company:** Intuit Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $197,000.0 - $266,500.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Amazon Web Services, Application Integration Architecture, Cloud Computing, Nvidia CUDA, Data Structures, Github, R (Programming Language), Python (Programming Language), Machine Learning, NLTK (NLP Analysis), NumPy, Tensorflow, SQL Databases, Data Processing, Apache Spark, Keras, Git, Pandas, Scikit Learn, Production Code, Software Performance, Software Version Control
- **Published:** June 12, 2026
- **Apply:** https://dejobs.org/x/x/3AA9406313E1466CA94B4DBD97F89A0F/job/

## 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.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
 * Basic 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 GPU acceleration (i.e. CUDA and cuDNN)
 * 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

## Description

* 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 in order to determine how they might connect with the customer benefits we wish to deliver.


## Related Videos

- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)