Principal Machine Learning Engineer

Global financial technology platform powering prosperity through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, serving approximately 100 million customers worldwide.
$233,000 - $335,000
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Finance

Description For Principal Machine Learning Engineer

Intuit, a leading global financial technology platform serving 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, is seeking a Principal Machine Learning Engineer for their AI Synapse team. This role focuses on building cutting-edge AI/Machine Learning solutions using Large Language Models (LLMs) and Multimodal Language Models.

The position offers an exciting opportunity to work with state-of-the-art AI technologies, solving complex challenges in document comprehension and multimodal data understanding. As a Principal Engineer, you'll lead the design and implementation of sophisticated ML systems, working alongside a dynamic team of Data Scientists and Data Engineers.

The role demands extensive experience in machine learning, with responsibilities ranging from architecting data curation systems to deploying production models. You'll be instrumental in shaping the technical direction of AI initiatives at Intuit, creating multi-year roadmaps, and mentoring team members.

The compensation package is highly competitive, with base salary ranges from $233,000 to $335,000, depending on location, plus additional benefits including equity rewards and bonuses. This is an excellent opportunity for an experienced ML professional to make a significant impact at a company committed to leveraging AI for customer prosperity.

The ideal candidate will bring 10+ years of ML experience, strong computer science fundamentals, and expertise in modern ML frameworks. You'll have the chance to work on meaningful problems that directly impact millions of customers while staying at the forefront of AI innovation.

Last updated a month ago

Responsibilities For Principal Machine Learning Engineer

  • Lead the design, implementation, and deployment of end-to-end Machine Learning based systems
  • Architect systems for curating large amounts of representative training data
  • Build robust model training and evaluation frameworks
  • Deploy models in production to drive quantifiable customer benefits
  • Accelerate innovation through prototyping and scaling successful prototypes
  • Create multi-year tech roadmap
  • Drive key architectural decisions
  • Champion technical excellence and operational rigor
  • Mentor junior team mates

Requirements For Principal Machine Learning Engineer

Python
Java
Scala
  • MS / Ph.D. in Computer Science with focus on Machine Learning / Artificial Intelligence or equivalent experience
  • 10+ years of experience developing and deploying machine learning based solutions in production environments
  • Strong Computer Science fundamentals including data structures, algorithms, performance complexity
  • Expertise in programming languages like Python, Java, or Scala and modeling frameworks like TensorFlow, Pytorch

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