Senior ML Engineer: Scale AI, Lead Tech Design

Intuit Inc.; San Diego (CA); On-site; USD 154,000 - 209,000; Full time

Job summary

Intuit Inc. is seeking a Senior Machine Learning Engineer to own the technical outcomes of AI projects, shaping architecture for scalable models and rapid iteration. You will work with product teams and data scientists to deliver end-to-end ML features and pipelines that impact millions of users.

In this role, you will lead design decisions, drive best practices, and ensure production-ready code. Expect a high-impact environment with collaboration across product, design, and engineering teams,

Qualifications

• PhD/MS/BS in CS or related field or equivalent experience.
• 5+ years of professional ML/engineering experience.
• Proficient with Python and ML frameworks (TensorFlow, Keras, Scikit-learn).
• Strong CS fundamentals and production-ready software practices.

Responsibilities

• Lead design of ML features and systems with sound architectural decisions.
• Create durable examples and drive best-practices including testing and observability.
• Troubleshoot complex bugs and coordinate with teams as needed.
• Stay current with AI-assisted development practices and evaluate new tech.
• Collaborate with data scientists to refine ML features and pipelines.

Skills

Python

TensorFlow

Keras

NumPy

Pandas

Scikit-learn

NLP

Spark

GCP

AWS

CUDA/cuDNN

Education

PhD in CS or related field

MS in CS or related field

BS in CS or related field

Tools

Git/GitHub

Docker

Kubernetes

AWS

GCP

Job description

Intuit Inc. is seeking a Senior Machine Learning Engineer to own the technical outcomes of AI projects, shaping architecture for scalable models and rapid iteration. You will work with product teams and data scientists to deliver end-to-end ML features and pipelines that impact millions of users.

In this role, you will lead design decisions, drive best practices, and ensure production-ready code. Expect a high-impact environment with collaboration across product, design, and engineering teams,