Staff Machine Learning Engineer

Intuit; Springfield (MO); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit in Springfield, MO is seeking a Staff Machine Learning Engineer to collaborate with AI scientists to build and deploy scalable ML models. You will create data pipelines, train and productionize models, and evaluate ML solutions with modern tooling.

The role demands deep ML knowledge and cloud experience and strong communication across teams. Candidates should have advanced degrees and a track record delivering production systems, performance optimization, and end-to-end ML lifecycle in

Qualifications

• BS, MS, or PhD in Computer Science or related field, or equivalent work experience.
• 7+ years of experience in ML/DS roles.
• Strong knowledge of ML techniques (classification, regression, clustering).
• Experience deploying ML models to production and monitoring performance.
• Proficiency with data processing and query tools (SQL).
• Familiarity with cloud platforms (AWS, GCP).
• Strong communication skills and ability to present complex concepts.

Responsibilities

• Collaborate with AI scientists to create and refine features from data and build pipelines to train and deploy models.
• Build machine learning feature pipelines that are production-ready.
• Partner with AI scientists to implement and refine ML algorithms and approaches.
• Run A/B tests, analyze data, and draw conclusions on model impact.
• Monitor and maintain production models in scalable environments.
• Work cross-functionally with product managers, AI scientists, and engineers to communicate results.

Skills

Python

Scikit-learn

NLTK

NumPy

Pandas

TensorFlow

Keras

R

Spark

7+ years experience

SQL

Git/GitHub

AWS

GCP

Production ML

Education

BS/MS/PhD in Computer Science or related field

Tools

Git

Github

Job description

Overview

Come join Intuit as a Staff Machine Learning Engineer!

In this role, you’ll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You’ll be expected to help conceive, code, and deploy models at scale using the latest industry tools. Important skills include creating data pipelines, developing and deploying models, and machine learning operations.

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.

Qualifications

• BS, MS, or PhD degree 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

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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

Mountain View $202,500 - $274,000