# Senior Staff AI/MLE Scientist

Hiring organization: [Intuit](https://career.thegoodapps.co/organizations/intuit)

Canonical page: https://career.thegoodapps.co/jobs/ec89650d-a707-4ef4-82ee-fea05389dc2b

Listed on Intuit's own careers site. Applications go to them directly.

- Seniority: Senior
- Location: Mountain View, CA
- Salary: 203000 – 284500 USD per year

## Summary

Lead machine learning systems from end-to-end—feature pipelines, model training, deployment, and monitoring—for a consumer platform that processes millions in business value. This role suits a seasoned ML engineer who can set technical standards, mentor teammates, and evolve shared infrastructure while directly shipping models that drive measurable impact.

_Our summary, not Intuit's wording._

## Skills named

CI/CD, Databricks, Feature Engineering, MLOps, PySpark, Python, PyTorch, scikit-learn, SQL, XGBoost

## Required

- 7+ years building and deploying production ML systems
- End-to-end ownership of models from data through monitoring
- Batch ML model development including classification, propensity, and uplift modeling
- Models shipped to production with measurable business impact
- Software engineering fundamentals and experience with shared ML libraries or feature stores
- Training and deploying models on modern platforms like Databricks or Spark MLlib
- Python, SQL, and PySpark proficiency
- Navigate ambiguity and deliver business-impacting results
- Communication skills across technical and non-technical teams

## Nice to have

- Familiarity with MLOps patterns like CI/CD for models, feature versioning, and drift monitoring
- Experience with agentic development environments

Apply on Intuit's site: https://jobs.intuit.com/job/mountain-view/senior-staff-ai-mle-scientist/27595/96832658704