Algorithms, Amazon Simple Storage Service (S3), Apache Hive, AWS, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, Data structuring, DevOps, Docker, Effective communication skills, Git, Github, Java Programming, Kubernetes-K8s, Machine learning techniques, Natural Language Toolkit - NLTK, NumPy, Pandas, Python Programming, Scala Programming, Software Development, Spark Core, SQL, TensorFlow
Join the Israeli MLE group as a Staff machine learning engineer, developing the Intuit Security Risk and Fraud models.
If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.
Join our team to help build the next generation of awesome products and experiences using cutting edge technology.
You will collaborate with many teams in Intuit and contribute to many components in different BU’s. We love engineers who lead the change, communicating with customers and delivering the most beautiful and intuitive applications.
In this role, you’ll be part of a vibrant team of Data Scientists and Machine Learning engineers.
Qualifications
Responsibilities
Use cases:
Model Productionalization: Work with data scientists to productionalize prototype models to the point where it can be used by customers at This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models.
Model Enhancement: Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members
Machine Learning Tools: The Machine learning Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science This may involve speeding up training, making data processing easier, or data management tooling.
Intuit Inc. is an American business that specializes in financial software. The company is headquartered in Mountain View, California, and the CEO is Sasan Goodarzi. As of 2019, more than 95% of its revenues and earnings come from its activities within the United States.