Staff Machine Learning Engineer

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

Job summary

Intuit is seeking a Staff Machine Learning Engineer to join a vibrant data science team. You will conceive, code, and deploy ML models at scale using Python-based tools and cloud platforms, collaborating across data scientists, product managers, and engineers.

We expect deep experience in data wrangling, feature engineering, model development, and robust evaluation. The role emphasizes scalable deployment, A/B testing, and clear communication of results to leadership.

Qualifications

• BS, MS, or PhD in CS or related field, or equivalent work experience.
• 6+ years of experience in ML or data science.
• Proficient with Python, Scikit, NumPy, Pandas, TensorFlow/Keras.
• SQL and data querying/processing fundamentals.
• GPU acceleration experience with CUDA/cuDNN.
• Experience deploying scalable software for millions of users.
• Strong communication and presentation skills.
• Familiar with Git/Github workflows.

Responsibilities

• Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
• Collaborate with data scientists to create and refine features from the data and build pipelines to train and deploy models.
• Partner with data scientists to understand, implement, refine and design ML algorithms.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on model impact.
• Work cross-functionally with product managers, data scientists and product engineers, and communicate results.
• Explore new technology shifts to connect with customer benefits.

Skills

Data wrangling

Feature engineering

Model development

Experimentation

SQL

communication

team collaboration

GPU acceleration

Education

BS/MS/PhD in CS or related

6+ years of experience

Tools

Python

Scikit-learn

NLTK

NumPy

Pandas

TensorFlow

Keras

R

Spark

Git

Github

CUDA

cuDNN

AWS

GCP

Job description

Come join Intuit as a Staff Machine Learning Engineer! In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.

Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Responsibilities

• Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
• Partner with data 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, data 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.
• 6+ years of experience
• Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
• Basic 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 GPU acceleration (i.e. CUDA and cuDNN)
• 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