Senior ML Engineer — Architect & Deliver Scalable AI

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

Job summary

Intuit is seeking a Senior Machine Learning Engineer to own the technical outcomes of AI projects and shape scalable architectures. You will lead ML feature design, collaboration with data scientists and product teams, and ensure reliable deployment with strong observability.

The role emphasizes delivering durable solutions, running experiments, and influencing team processes to improve AI workflows at scale.

Qualifications

• 5+ years of experience in ML engineering or similar roles.
• Knowledgeable with data science/AI tools and frameworks (Python, Scikit-learn, TensorFlow, Keras).
• Solid understanding of ML techniques and fundamentals.
• Computer science fundamentals: data structures, algorithms, complexity.
• Experience deploying scalable software and production-grade code.
• Proficient in version control and collaboration with cross-functional teams.

Responsibilities

• Lead technical design of complex ML features and systems.
• Drive testing, observability, and reusable patterns for AI-enabled work.
• Run A/B tests and analyze results to measure model impact.
• Collaborate with product managers, data scientists, and engineers.
• Deliver major features with clear documentation and reliable delivery.

Skills

Python

Scikit-learn

TensorFlow

Keras

NumPy

Pandas

R

Spark

Communication

Education

BS/MS/PhD in CS or related field

Tools

CUDA

cuDNN

AWS

GCP

Git/GitHub

Job description

Intuit is seeking a Senior Machine Learning Engineer to own the technical outcomes of AI projects and shape scalable architectures. You will lead ML feature design, collaboration with data scientists and product teams, and ensure reliable deployment with strong observability.

The role emphasizes delivering durable solutions, running experiments, and influencing team processes to improve AI workflows at scale.