Staff Machine Learning Engineer: Scale Models & Pipelines

Intuit; Clarksville (TN); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit is seeking a Staff Machine Learning Engineer to collaborate with AI scientists and engineers to create AI-powered experiences. You will conceive, code, and deploy models at scale, building data pipelines and ML-ready features while maintaining production systems.

You will work with cloud technologies (AWS/GCP), run A/B tests, analyze results, and communicate findings to stakeholders. This role emphasizes scalability, performance, and impactful customer benefits.

Qualifications

• BS, MS, or PhD in Computer Science or related field, or equivalent work experience.
• 7+ years of experience.
• Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
• 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 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

Responsibilities

• Work with AI scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
• Build "machine learning ready" feature pipelines.
• Partner with AI scientists to understand, implement, refine and design machine learning and other algorithms.
• Run regular A/B tests, gather data, and draw conclusions on the impact of your models.
• Monitor and maintain production 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.

Skills

Python

Scikit-learn

TensorFlow

Keras

Numpy

Pandas

SQL

Data pipelines

ML deployment

AWS

GCP

Git

Education

BS/MS/PhD in CS or related field

Tools

Spark

Job description

Intuit is seeking a Staff Machine Learning Engineer to collaborate with AI scientists and engineers to create AI-powered experiences. You will conceive, code, and deploy models at scale, building data pipelines and ML-ready features while maintaining production systems.

You will work with cloud technologies (AWS/GCP), run A/B tests, analyze results, and communicate findings to stakeholders. This role emphasizes scalability, performance, and impactful customer benefits.