Machine Learning Engineer 2, Business Platform

Intuit, Inc.; Mountain View (CA); On-site; USD 141,000 - 190,000; Full time

Benefits offered by this job

Bonus eligibility

Equity rewards

Benefits

Job summary

Intuit, Inc. is seeking a data-focused professional to join a dynamic team of data scientists in Mountain View. You will conceive, code, and deploy scalable data science models using modern tools and practices.

Responsibilities include data wrangling, feature engineering, model deployment, and collaborating with product teams to translate insights into customer benefits. Strong Python/ML tooling and cloud experience are preferred.

Qualifications

• BS/MS/PhD in CS or related field, or equivalent work experience.
• 1+ years of experience.
• Knowledgeable with data science tools and frameworks (Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
• Basic knowledge of ML techniques (classification, regression, clustering).
• Understand ML principles (training, validation).
• Knowledge of SQL and data processing tools.
• CS fundamentals: data structures, algorithms, performance, I/O and memory tuning.
• Software engineering basics: Git/Github, workflows, production-ready code.
• Experience deploying highly scalable software for millions of users.
• Experience with GPU acceleration (CUDA/cuDNN).
• Experience with cloud integrations (AWS, GCP).
• Strong oral and written communication; able to present to non-technical audiences.

Responsibilities

• Discover data sources, access, import, clean, and render ML-ready data.
• Work with data scientists to create features and pipelines to train and deploy models.
• Partner with data scientists to design and refine ML algorithms.
• Run A/B tests, analyze results, and evaluate model impact.
• Collaborate cross-functionally with product managers, data scientists, and engineers.
• Explore new tech shifts to connect with customer benefits.

Skills

Data wrangling

Model deployment

Python

Scikit-learn

TensorFlow

Spark

SQL

GPU acceleration

Cloud integration

Communication

Education

BS, MS, or PhD in Computer Science or related field

Tools

Git

Github

AWS

GCP

Job description

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, scaled model deployments, model development, and building agentic systems.

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.
• 1+ 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 may 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 $140,500 - $190,000