Senior Machine Learning Engineer

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper.

We never stop working to find new, innovative ways to make that possible.

Qualifications

• BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
• 6+ years of experience
• Knowledgeable with Data Science tools and frameworks (. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
• Basic knowledge of machine learning techniques (. classification, regression, and clustering).
• Understand machine learning principles (training, validation,
• Knowledge of data query and data processing tools (. SQL)
• Computer science fundamentals : data structures, algorithms, performance complexity, and implications of computer architecture on software performance (.

I / O and memory tuning).

• Software engineering fundamentals : version control systems (. 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 (. CUDA and cuDNN)
• Experience with integrating applications and platforms with cloud technologies (. 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

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 machinelearning 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

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is 161,500 219,000, Bay Area California $161,500 219,000, Southern California $149,500 202,000.

This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs .

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.