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Senior Machine Learning Engineer

Category Software Engineering Location Mountain View, California Job ID 2024-64938

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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.

Job Overview

Come join the "Smart Money Services" (SMS) as a "Senior Machine Learning Engineer". The SMS team is responsible for detecting and preventing fraud and financial risk for all Money Movement events at Intuit.

Responsibilities

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.
Help develop and maintain web services for the AI team which orchestrate various ML functions.
Important skills include data wrangling, feature engineering, developing models, and testing metrics.
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 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.ePython, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Understand machine learning principles (training, validation, etc.).
Demonstrated experience with web services (e.g. REST) and API design.
Experience with any of the following Object Oriented Languages (OOD): Scala, Python, Java preferred.
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) 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).
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.

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is Bay Area California $161,500- 219,000. 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 pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Career Path

Mobility plays an important role for our engineering community. In addition to vertical growth, our teams offer lateral growth opportunities. Whether it’s working on a different tech stack or product, Intuit will help you get to the next step in your career.