Staff ML Engineer: AI Systems & Personalization

Intuit, Inc.; Mountain View (CA); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit, Inc. is seeking a Staff Software Engineer to design and own shared AI/ML capabilities, including training pipelines, evaluation frameworks, and ML tooling that power AI-driven experiences across personal finance, accounting, and tax.

You will work with AI scientists, product, and design to move from proof-of-concept to production, building memory and evaluation systems and agent frameworks for scalable, high-quality AI at Intuit.

Qualifications

• BS, MS, or PhD in Computer Science or equivalent practical experience.
• 8+ years building production AI/ML systems; prior experience leading an engineering effort is a plus.
• Strong CS fundamentals - data structures, algorithms, system design - plus solid ML fundamentals (classification, regression, clustering, neural networks).
• Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, Pandas/NumPy).
• Practical experience with LLMs: prompt engineering, fine-tuning, and frameworks like LangChain.
• Experience building or operating agentic systems, agent frameworks, or long-term memory/context architectures for AI applications.

Responsibilities

• Design and own shared AI/ML components, frameworks, and pipelines - spanning model training, evaluation, and fine-tuning - used across multiple product teams
• Apply ML fundamentals and LLM techniques (prompting, fine-tuning, RAG) to solve concrete customer problems, then evaluate model performance in production
• Build long-term memory and context-retention systems that let AI experiences personalize and stay coherent over time, and evaluation frameworks that make model quality measurable at scale
• Prototype and build agent builder frameworks and embedded AI experiences, taking cutting-edge agentic AI concepts from early exploration to product-ready implementations
• Drive rapid prototyping and experimentation to move from proof-of-concept to high-accuracy, performant systems
• Set best practices for ML tooling and developer workflows; mentor other engineers on AI craft
• Stay ahead of emerging GenAI and ML developments and identify where they improve existing products
• Collaborate closely with AI scientists, product, and design to navigate ambiguity and ship next-generation AI-driven experiences
• Architect and build full-stack, AI-native applications end-to-end, from backend services to production LLM integrations
• Set best practices for application architecture; mentor other engineers on software engineering craft

Skills

Python

LLM techniques

ML fundamentals

Prompt engineering

System design

Kubernetes

Cross-functional collaboration

Big-picture problem solving

Education

BS/MS/PhD in Computer Science or equivalent

Tools

PyTorch

TensorFlow

Pandas/NumPy

LangChain

SageMaker

Job description

Intuit, Inc. is seeking a Staff Software Engineer to design and own shared AI/ML capabilities, including training pipelines, evaluation frameworks, and ML tooling that power AI-driven experiences across personal finance, accounting, and tax.

You will work with AI scientists, product, and design to move from proof-of-concept to production, building memory and evaluation systems and agent frameworks for scalable, high-quality AI at Intuit.