Staff Machine Learning Engineer

Intuit; Evansville (IN); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit invites applicants for a Staff Machine Learning Engineer to work with AI scientists and ML engineers to create AI-powered experiences and deploy models at scale using modern tools and pipelines.

You will build data pipelines, train and deploy models, and run regular A/B tests while monitoring production systems and collaborating with product teams and leadership. Strong Python and ML framework skills, plus cloud familiarity, are essential.

Qualifications

• BS, MS or PhD in Computer Science or related field, or equivalent work experience.
• 7+ years of experience.
• Experience with Data Science tools and frameworks (e.g. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
• Knowledge of ML techniques (classification, regression, clustering).
• Understand ML principles (training, validation).
• Knowledge of data query and data processing tools (SQL).
• CS fundamentals: data structures, algorithms, performance, memory/tuning.
• Software engineering fundamentals: Git, Github, workflows, production-ready code.
• Experience deploying highly scalable software for millions of users.
• Experience with AWS and GCP cloud technologies.
• Strong oral and written communication; able to present to non-technical users

Responsibilities

• Collaborate with AI scientists to create and refine features from data and build training/deploy pipelines.
• Build "machine learning ready" feature pipelines.
• Partner with AI scientists to design ML algorithms.
• Run regular A/B tests and analyze model impact.
• Monitor and maintain production models.
• Work cross-functionally with product managers and engineers and communicate results.
• Explore new tech trends to align with customer benefits

Skills

Python

Scikit-learn

NLTK

NumPy

Pandas

TensorFlow

Keras

R

Spark

SQL

AWS

GCP

Education

BS/MS/PhD in CS or related field

Tools

Git

Github

AWS

GCP

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