Machine Learning Engineer

Join Intuit, Inc. as a Staff Machine Learning Engineer and help create AI-powered experiences that deliver meaningful value to customers. In this role, you will collaborate with AI scientists, machine learning engineers, product managers, and product engineers to develop, deploy, and improve models at scale. You will contribute across the machine learning lifecycle, from shaping data and building pipelines to evaluating models and supporting them in production.

About The Company

Intuit, Inc. is a technology company focused on developing products and services that help customers manage important financial and business needs. The company brings together technology, data, and customer-focused teams to create useful digital experiences. At Intuit, machine learning and artificial intelligence can support products designed to make complex tasks more accessible and help customers achieve better outcomes.

About The Role

As a Staff Machine Learning Engineer, you will work at the intersection of machine learning research and production software engineering. You will partner with AI scientists to turn ideas and algorithms into reliable, scalable systems, while helping ensure that data and features are suitable for model training and deployment. Your work will include experimentation, implementation, performance evaluation, and ongoing production support. You will also help the team assess emerging technologies and determine where they may create useful customer benefits.

This role is suited to an experienced engineer who can move between technical detail and broader product goals. You will communicate findings and recommendations to colleagues and leaders, and help cross-functional partners understand model performance, tradeoffs, and opportunities.

Qualifications

• Bachelor’s, master’s, or doctoral degree in computer science or a related field, or equivalent practical experience.
• Seven or more years of relevant professional experience.
• Knowledge of data science tools and frameworks, such as Python, scikit-learn, NLTK, NumPy, pandas, TensorFlow, Keras, R, or Spark.
• Understanding of machine learning methods, including classification, regression, and clustering, as well as training and validation principles.
• Experience with data querying and processing tools, including SQL.
• Strong computer science fundamentals, including data structures, algorithms, complexity, and performance considerations related to I/O, memory, and computer architecture.
• Software engineering experience using version control systems and collaborative workflows, such as Git and GitHub, with the ability to produce maintainable, production-ready code.
• Experience deploying highly scalable software that supports large user populations, and integrating applications or platforms with cloud technologies such as AWS or GCP.
• Strong written and verbal communication skills, including the ability to lead discussions, present professionally, and explain technical concepts to non-technical audiences.

Responsibilities

• Collaborate with AI scientists to develop and refine features from underlying data, and build pipelines that support model training and deployment.
• Create machine-learning-ready feature pipelines that are dependable, reusable, and suitable for production workflows.
• Help design, implement, and refine machine learning and other algorithms in partnership with scientific and engineering colleagues.
• Run regular A/B tests, collect relevant data, and interpret results to assess model impact and inform improvements.
• Deploy, monitor, troubleshoot, and maintain production models, addressing reliability and performance needs over time.
• Work across product, science, and engineering teams, and communicate results and recommendations to peers and leaders.
• Evaluate emerging technology shifts and identify potential connections to customer needs and intended product benefits.

Benefits

Intuit offers a competitive compensation package with a pay-for-performance approach. Depending on applicable plans and programs, this position may be eligible for a cash bonus, equity rewards, and benefits. Compensation is determined using factors such as job-related knowledge, skills, experience, and work location. The expected base pay range is $202,500–$274,000 for the Bay Area, California, and $178,500–$241,500 for Plano, Texas. Intuit conducts regular pay comparisons across categories of ethnicity and gender to support ongoing fair pay for employees.

Equal Opportunity

Intuit, Inc. is committed to providing equal employment opportunities. Employment decisions are based on role-related qualifications, skills, and business needs. Candidates from all backgrounds are encouraged to apply.