Staff ML Engineer - Scale Pipelines & Models

Intuit; Delaware (OH); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit, a leader in financial software, seeks a Staff Machine Learning Engineer to build and deploy AI-powered experiences at scale. You will work with AI scientists to create, refine, and productionize features and models, and run A/B tests to measure impact.

The role emphasizes strong communication and collaboration across product teams. You will deploy scalable ML pipelines in cloud environments (AWS/GCP), maintain production systems, and stay ahead of tech shifts to benefit our customers.

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.

Responsibilities

• Collaborate with AI scientists to create and refine features from data and build pipelines to train and deploy models.
• Build "machine learning ready" feature pipelines.
• Partner with AI scientists to design ML algorithms.
• Run regular A/B tests, analyze results, and assess impact of models.
• Monitor and maintain production models.
• Work cross-functionally with product managers and engineers, communicating results clearly.

Skills

Strong communication

Cross-functional collaboration

Education

Bachelor/Master/PhD in CS or related

Tools

Python

Scikit-learn

NLTK

NumPy

Pandas

TensorFlow

Keras

R

Spark

SQL

Git

AWS

GCP

Job description

Intuit, a leader in financial software, seeks a Staff Machine Learning Engineer to build and deploy AI-powered experiences at scale. You will work with AI scientists to create, refine, and productionize features and models, and run A/B tests to measure impact.

The role emphasizes strong communication and collaboration across product teams. You will deploy scalable ML pipelines in cloud environments (AWS/GCP), maintain production systems, and stay ahead of tech shifts to benefit our customers.