Overview

Join the Israeli MLE group as a senior machine learning engineer developing a new intelligent matching company wide capability

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 brand-new innovative 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.

You’ll be expected to help code, optimize, and deploy Machine Learning models at scale using the latest industry tools and techniques.

You’ll also help automate, deliver, monitor, and improve machine learning solutions.

Important skills include software development, systems engineering, data wrangling, feature engineering, architecting, and testing.

What you'll bring

• Languages : Java, Scala , Python (At least one at a high proficiency level)
• 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:SOLID, TDD, version control systems (Git, Github) and workflows, and ability to write production-ready code.
• Some experience with large scale data processing tools: Spark
• Cloud technologies - AWS: Storage ,messaging,
• Experience with Relational data storage, SQL
• DevOps concepts, e.g. CI/CD
• Software container technology, e.g. Docker, Kubernete
  

How you will lead

• Design and build systems which improve machine learning scalability, usability, and performance.
• Work cross functionally with product managers, data scientists, and engineers to understand, implement, refine, and design machine learning and other algorithms.
• Effectively communicate results to peers and leaders.
• Explore the state-of-the-art technologies and apply them to deliver customer benefits.
• Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines