Staff Machine Learning Engineer

Overview

Join Intuit’s Mid-Market AI team to help build the next generation of AI-native ERP.

Our mission is to disrupt the mid-market ERP space by replacing disparate, rigid, workflow-driven systems with intelligent, autonomous software. We are building a system of action—where data, insights, workflows are unified, continuously learning, and increasingly automated to assist mid-market operators with managing their businesses.

You will design and own AI systems that power real business actions at scale.

Responsibilities

• Discover data sources, get access to them, import them, clean them up, and make them machine learning-ready.
• Work with AI scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
• Partner with AI 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, AI 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.

Qualifications

• Education: BS, MS, or PhD degree in Computer Science, Operations Research, Industrial Engineering, or a related field.
• Experience: 6+ years of industry experience in applied machine learning, AI engineering, or software engineering.
• Core Engineering: Strong proficiency in Python and software engineering fundamentals (data structures, algorithms, version control, CI/CD). Experience deploying highly scalable software supporting millions of users.
• 
  Cloud & Infrastructure: Experience integrating applications with cloud technologies (i.e., AWS, GCP) and containerization (Docker/Kubernetes).

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: