Base Salary
$141k - $190k/yr
Responsibilities
- Discover, access, import, clean, and prepare data for machine learning.
- Create features and build pipelines to train and deploy machine learning models.
- Implement, refine, and design machine learning algorithms with data scientists.
- Run A/B tests, perform statistical analysis, and assess model impact.
- Develop and deploy scalable models and agentic systems supporting millions or more users.
- Collaborate cross-functionally with product managers, data scientists, and product engineers.
- Evaluate emerging technologies and communicate technical results to technical and non-technical audiences.
Requirements
- Bachelor’s, master’s, or PhD degree in computer science or a related field, or equivalent work experience.
- At least 1 year of experience.
- Knowledge of data science tools and frameworks including Python, Scikit, NLTK, NumPy, Pandas, TensorFlow, Keras, R, and Spark.
- Knowledge of machine learning techniques and principles, including classification, regression, clustering, training, and validation.
- Knowledge of SQL and data query and processing tools.
- Understanding of data structures, algorithms, performance complexity, and computer architecture implications for software performance.
- Experience with version control and production-ready code using Git and GitHub.
- Experience deploying highly scalable software supporting millions or more users.
- Experience with GPU acceleration using CUDA and cuDNN.
- Experience integrating applications and platforms with AWS and GCP.
- Strong oral and written communication skills, including presentations and explaining complex technical concepts to non-technical users.
Benefits
- Competitive compensation package with pay-for-performance rewards.
- May be eligible for a cash bonus, equity rewards, and benefits according to applicable plans and programs.
- Expected Mountain View base pay range is $140,500-$190,000.
Tech Stack
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.