Senior AI Scientist — AI-Native ERP & Intelligent Ops

Intuit, Inc.; Mountain View (CA); Sur place; USD 180 000 - 244 000; Plein temps

Résumé du poste

Intuit, Inc. is seeking a Senior AI Scientist to join the Mid-Market Intelligence team in Mountain View. You will build, evaluate, and deploy AI systems spanning LLMs, agentic architectures, and classical ML to power AI-native ERP experiences for mid-market customers.

You will collaborate with product managers and engineers to run experiments, design MVPs, and push the boundaries of AI-assisted decision making in a fast-paced environment.

Qualifications

• BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)
• 3+ years of industry experience with AI science; hands-on development and production rollout of LLM-powered or agentic experiences is a huge plus
• Experience with modern AI/agentic building blocks: LLM APIs and orchestration frameworks, prompt and context engineering, RAG/retrieval and vector search, tool use and function calling, fine-tuning, and evaluation/guardrail frameworks
• 3+ years of experience in modern advanced analytical tools and programming languages such as Python (scikit-learn, PyTorch, or similar)
• Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, anomaly detection, recommender systems, sequential pattern discovery, and text mining
• Strong experimental rigor: experience designing A/B tests and offline/online evaluations, and drawing statistically sound conclusions
• Efficient in SQL, Hive, or SparkSQL, etc.; experience with large-scale data processing (e.g., Spark/PySpark) a plus
• Comfortable in Linux environment
• Solid communication skills: demonstrated ability to explain complex technical issues, model behavior, and evaluation results to both technical and non-technical audiences

Responsabilités

• Apply the state of the art in AI and agentic technology — LLMs, multi-agent architectures, tool use, retrieval (RAG), prompt and context engineering, and fine-tuning — to enable AI-native product experiences for mid-market ERP customers
• Perform hands-on data analysis and modeling with huge, real-world business datasets (financials, operations, transactions)
• Build intelligent systems that proactively capture data signals, prevent issues before they occur, automate processes, and improve customer decision making — combining generative AI with classical machine learning (supervised and unsupervised) where each is strongest
• Design and build rigorous evaluation frameworks for LLM and agentic systems — offline evals, golden datasets, LLM-as-judge approaches, and quality/safety guardrails — and treat evaluation as a first-class deliverable
• Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products for AI-native workflows, including human-in-the-loop and explainability patterns
• Discover data sources, get access to them, import them, clean them up, and make them 'model-ready.' You need to be willing and able to do your own ETL
• Create and refine features, context, and retrieval strategies from the underlying data. You'll enjoy developing just enough ERP subject matter expertise to have an intuition about what signals might make your models and agents perform better, and then you'll lather, rinse and repeat
• Run regular A/B tests and online experiments, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations, and communicate results to peers and leaders
• Explore new AI research, design, and technology shifts in order to determine how they might connect with the customer benefits we wish to deliver, in a landscape that evolves month to month

Connaissances

Python

Communication

Formation

BS/MS/PhD in CS/Statistics/Applied Math/OR

Outils

LLM APIs

Orchestration frameworks

RAG retrieval

Vector search

Function calling

Fine-tuning

PyTorch

scikit-learn

Description du poste

Intuit, Inc. is seeking a Senior AI Scientist to join the Mid-Market Intelligence team in Mountain View. You will build, evaluate, and deploy AI systems spanning LLMs, agentic architectures, and classical ML to power AI-native ERP experiences for mid-market customers.

You will collaborate with product managers and engineers to run experiments, design MVPs, and push the boundaries of AI-assisted decision making in a fast-paced environment.