Staff Machine Learning Engineer

Intuit; Southfield (MI); On-site; USD 203,000 - 274,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits package

Job summary

Intuit is hiring a Staff Machine Learning Engineer to be embedded with a data science team and contribute to end-to-end model development at scale. You will wrangle data, design features, and deploy robust models using modern ML tools.

The role emphasizes collaboration with product managers and engineers and requires strong communication of complex concepts. You will leverage cloud platforms (AWS/GCP), GPUs for accelerated training, and a focus on performance and reliability.

Qualifications

• BS, MS, or PhD in Computer Science or related field, or equivalent work experience.
• 6+ years of experience in machine learning engineering.
• Proficiency with data science tools and frameworks (Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
• Basic knowledge of machine learning techniques (classification, regression, clustering).
• Understand ML training/validation principles and data query/processing (SQL).
• Strong software engineering fundamentals: Git/GitHub, production-ready code, scalable systems.

Responsibilities

• Discover data sources, access and clean data for ML readiness.
• Collaborate with data scientists to build features and pipelines for model training and deployment.
• Design and implement ML algorithms with product impact in mind.
• Run A/B tests, analyze results, and iterate on models based on data insights.
• Communicate results to peers and leaders across teams.
• Explore new tech trends to connect to customer benefits.

Skills

6+ years experience

Education

BS/MS/PhD in CS

Tools

Python

TensorFlow

Keras

Pandas

NumPy

SQL

Spark

AWS

GCP

Git

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