Staff Machine Learning Engineer

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

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit is seeking a Staff Machine Learning Engineer to embed within a dynamic data science team. You will conceive, code, and deploy scalable ML models, focusing on data wrangling, feature engineering, and evaluation to drive customer impact.

You will partner with data scientists, product managers and engineers, run regular A/B tests, and explore new technologies to deliver measurable benefits at scale.

Qualifications

• BS, MS or PhD in Computer Science or related field, or equivalent work experience.
• 6+ years of experience.
• Proficient with Python and ML frameworks (TensorFlow, Keras, Scikit-learn, Spark).
• Knowledge of ML concepts (training, validation, evaluation).
• SQL and data processing skills for feature engineering and analytics.
• Experience deploying scalable ML systems in production.
• Familiar with cloud platforms (AWS, GCP) and GPU acceleration.

Responsibilities

• Discover data sources, access and clean them to be ML-ready.
• Collaborate with data scientists to create and refine features and pipelines.
• Design, train, and deploy ML models and benchmarks.
• Run A/B tests, analyze results, and communicate impact to stakeholders.
• Collaborate with product managers and engineers and present findings clearly.
• Explore new tech shifts to enhance customer value and impact.

Skills

Machine learning

A/B testing

Data wrangling

Feature engineering

Model deployment

Python

SQL

Cloud computing

Education

BS/MS/PhD in Computer Science or related field

Tools

TensorFlow

Keras

Scikit-learn

Apache Spark

CUDA

cuDNN

AWS

GCP

Numpy

Pandas

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