Software Engineer 2 AI

Global financial technology platform powering prosperity through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, serving approximately 100 million customers worldwide.
Machine Learning
Mid-Level Software Engineer
Contact Company
5,000+ Employees
3+ years of experience
AI · Finance

Description For Software Engineer 2 AI

Intuit, a leading global financial technology platform serving approximately 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, is seeking an AI/ML Engineer for their Customer Growth and Engagement team. This role focuses on transforming Intuit's Marketing Platforms with AI by automating and assisting in key workflows.

The position involves building ML models and pipelines for insights, recommendations, and entity recognition from various data sources. You'll be instrumental in implementing AI native apps that automate marketing workflows and potentially fine-tune LLMs for marketing needs. Working closely with AI/data teams and platform engineers, you'll develop durable frameworks and components that enable AI-based assists and model-based automations in their tools.

This is an excellent opportunity for passionate engineers and applied scientists who excel in understanding data, building models, and optimizing for accuracy. The role requires strong expertise in machine learning fundamentals, including classification, regression, clustering, and neural networks, along with proficiency in Python and various ML frameworks. You'll be at the forefront of implementing cutting-edge AI solutions while working with a company that powers prosperity for millions of customers worldwide.

The ideal candidate will bring both technical expertise and innovative thinking to help drive Intuit's AI transformation in marketing platforms. You'll have the chance to work with state-of-the-art technologies while making a significant impact on how Intuit serves its vast customer base through AI-driven solutions.

Last updated 24 days ago

Responsibilities For Software Engineer 2 AI

  • Design common components/frameworks/models that assist in building AI native apps and Fullstack LLM apps
  • Own end to end development of frameworks/models/ML pipelines
  • Explore new shifts in GenAI/AI and own possible application/improvements in existing use cases
  • Ensure data security and preparation for training and inferences

Requirements For Software Engineer 2 AI

Python
  • BS, MS, or PhD degree in Computer Science or related field
  • 3+ years of experience in building AI/ML applications
  • Proficiency in Python, PyTorch, Numpy, Pandas, TensorFlow
  • Strong machine learning fundamentals (classification, regression, clustering, neural networks)
  • Computer science fundamentals: data structures, algorithms, performance complexity
  • Experience with cloud technologies (e.g: AWS Sagemaker)
  • Understanding of LLM, LangChain, CustomGPTs, Prompt Management
  • In-depth knowledge of Transformer, Encoder, Embedding Models at scale

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