Staff ML Engineer: AI Systems & Personalization

Intuit; Mountain View (CA); On-site; USD 230,000 - 250,000; Full time

Benefits offered by this job

Cash bonus eligibility

Equity rewards

Job summary

Intuit is seeking a Staff Software Engineer to design and own AI/ML capabilities powering core products, including training pipelines, evaluation frameworks, and tooling.

You will collaborate with AI scientists, product and design teams to move from proof-of-concept to production, building long-term memory, context-aware experiences, and agent frameworks while guiding best practices for ML tooling and developer workflows.

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 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
• Familiarity designing evaluation frameworks or offline/online eval pipelines for measuring model and agent quality
• Cloud platform experience for ML workloads (AWS, including SageMaker)
• Track record of launching AI integrations in production and evaluating their real-world impact
• Strong cross-functional collaboration skills, partnering effectively with data scientists, product managers, and engineers across global teams
• Proficiency in one or more full-stack languages (JavaScript, Java) and experience designing scalable services - microservices, relational/NoSQL data stores, Kubernetes

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

Distributed systems

Cross-functional collaboration

Education

BS/MS/PhD in Computer Science

Tools

PyTorch

TensorFlow

Pandas/NumPy

LangChain

Job description

Intuit is seeking a Staff Software Engineer to design and own AI/ML capabilities powering core products, including training pipelines, evaluation frameworks, and tooling.

You will collaborate with AI scientists, product and design teams to move from proof-of-concept to production, building long-term memory, context-aware experiences, and agent frameworks while guiding best practices for ML tooling and developer workflows.