$202,500 – $274,000
Listed on Intuit’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A Staff Machine Learning Engineer will design, build, and deploy data science models at scale within Intuit's data science team, working across the full pipeline from data preparation through A/B testing and impact analysis. This role suits experienced ML engineers comfortable with the mathematical foundations of machine learning and production software engineering practices who want to work on problems serving millions of users.
Our summary, not Intuit’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- CUDA
- Git
- GitHub
- Keras
- Natural Language Toolkit (NLTK)
- NumPy
- Pandas
- Python
- R
- scikit-learn
- SPARK
- SQL
- TensorFlow
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What they ask for
Required
- BS, MS, or PhD in Computer Science or related field, or equivalent work experience
- 6+ years of experience
- Data science tools and frameworks (Python, Scikit, NLTK, NumPy, Pandas, TensorFlow, Keras, R, Spark)
- Machine learning techniques (classification, regression, clustering)
- Machine learning principles (training, validation)
- SQL and data query tools
- Data structures, algorithms, and complexity analysis
- Version control (Git, GitHub) and production-ready code
- Experience deploying scalable software for millions+ users
- Oral and written communication skills
Nice to have
- GPU acceleration (CUDA, cuDNN)
- Cloud platform integration (AWS, GCP)