Senior ML Engineer - Real-Time Consumer Risk Platform

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

Benefits offered by this job

Bonus eligibility

Equity rewards

Benefits

Job summary

Intuit, Inc. is hiring a Staff Machine Learning Engineer to own the data and platform layer for consumer risk decisioning.

You will design and operate shared infrastructure for feature pipelines, training/evaluation, and real-time inference serving across Fintech products. You will guide multi-cloud architecture, build scalable feature infrastructure, and create evaluation frameworks to measure model impact.

Qualifications

• BS, MS, or PhD in Computer Science, Engineering, or related quantitative field, or equivalent practical experience
• 8+ years building production software with substantial ML systems experience
• Strong CS fundamentals: data structures, algorithms, distributed systems, system design; plus ML fundamentals
• Proficiency in Python and SQL; production experience with Spark, Flink, or equivalents for streaming and batch data
• Demonstrated ownership of a data or ML platform used by multiple teams; experience deploying models to real-time serving with low latency

Responsibilities

• Own the technical vision and architecture for the consumer risk data and serving platform.
• Design and build multi-cloud infrastructure for data handshakes and curated datasets in the central data lake.
• Build shared feature infrastructure for streaming and batch data processing with observability to catch drift and staleness
• Establish evaluation frameworks to measure model quality, regression, and production impact
• Own the model-to-decision path from deployment to real-time serving within sub-second budgets
• Set engineering standards for ML systems and structure codebases for scalable, maintainable development
• Automate repetitive parts of the model lifecycle and reduce manual intervention
• Mentor engineers on ML systems and communicate tradeoffs clearly to stakeholders
• Connect technical decisions to metrics like loss basis points, approval rate, and decision latency

Skills

Python

SQL

Spark/Flink

ML systems

Distributed systems

Cloud AWS

CI/CD

Education

CS/Engineering degree

Tools

SageMaker

Spark

Flink

Job description

Intuit, Inc. is hiring a Staff Machine Learning Engineer to own the data and platform layer for consumer risk decisioning.

You will design and operate shared infrastructure for feature pipelines, training/evaluation, and real-time inference serving across Fintech products. You will guide multi-cloud architecture, build scalable feature infrastructure, and create evaluation frameworks to measure model impact.