Skill
Automated Machine Learning (AutoML)
Data Science, Analytics and AI/ML
Automated Machine Learning (AutoML) refers to tools and processes that automate the end-to-end workflow of applying machine learning, including data preprocessing, feature engineering, model selection, and hyperparameter tuning. It is used by data scientists and business analysts to build predictive models faster and by non-experts to access machine learning without deep statistical expertise, via platforms like Google Cloud AutoML, H2O.ai, and DataRobot.
Automated Machine Learning (AutoML) in the job market
Last checked October 28, 2026
- Open roles
- 5
- Employers
- 2
- Median pay
- —
- Disclose pay
- —
on Career App
hiring for it
not enough disclosed
of these roles
Open roles requiring Automated Machine Learning (AutoML) (5)
Staff Software Engineer - Full Stack
Intuit
Mountain View, CA · $202,500 – $274,000
A staff-level full-stack engineer role building scalable cloud and AI-integrated applications at Intuit, suited to experienced technologists comfortable mentoring others and leading cross-team initiatives in enterprise environments.
Listed on Intuit’s careers site · Apply there ↗
Manager, Marketing Science
The Home Depot
Atlanta, GA
Lead a team of marketing analytics professionals at The Home Depot, designing and executing measurement strategies to quantify the impact of marketing investments across the enterprise. This role suits experienced analysts ready to move into people management, combining technical expertise in causal inference and experimentation with responsibility for mentoring junior team members and translating complex findings for executives.
Listed on The Home Depot’s careers site · Apply there ↗
Staff Backend Software Engineer
Intuit
New York, NY · $202,500 – $274,000
This is a senior backend engineering role focused on architecting and delivering scalable, cloud-native systems while integrating AI capabilities. The position suits experienced engineers who can lead technology initiatives across complex distributed systems and mentor junior team members.
Listed on Intuit’s careers site · Apply there ↗
Staff Software Engineer-Front End
Intuit
San Diego, CA · $188,500 – $255,000
A leadership role for a seasoned front-end engineer to architect and build consumer-facing web and mobile experiences while integrating AI capabilities and mentoring junior developers. This suits engineers with deep full-stack JavaScript experience, a track record shipping large-scale products, and a genuine interest in AI as a tool to solve customer problems.
Listed on Intuit’s careers site · Apply there ↗
Staff Software Engineer-Full Stack
Intuit
New York, NY · $202,500 – $274,000
A Staff Software Engineer role focused on designing and building scalable, enterprise-grade full-stack applications with a strong emphasis on AI integration and emerging technologies. This position suits experienced engineers who can architect complex systems, mentor others, and lead the adoption of AI across products while working across distributed global teams.
Listed on Intuit’s careers site · Apply there ↗
Asked for alongside Automated Machine Learning (AutoML)
Measured from the 5 open roles that name Automated Machine Learning (AutoML) — not from a curated list.
- SQL4 roles80.0%
- Test-Driven Development (TDD)4 roles80.0%
- Apache Mesos3 roles60.0%
- CI/CD3 roles60.0%
- Java3 roles60.0%
- JavaScript3 roles60.0%
- Kubernetes3 roles60.0%
- Microservices3 roles60.0%
Roles that use Automated Machine Learning (AutoML)
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.