Lead ML Engineer — MLOps & GenAI Pipelines

Salesforce; Bellevue (WA); On-site; USD 173,000 - 260,000; Full time

Job summary

Salesforce is seeking a Lead member of technical staff in ML Engineering to define and execute the ML strategy with a focus on MLOps, IaC, and CI/CD. You will own multiple ML pipelines across security and compliance and mentor others in best practices.

The role emphasizes production-ready generative AI solutions, model monitoring, and cross-functional collaboration to deliver measurable business impact within a secure framework.

Qualifications

• Advanced degree in a quantitative field is required or highly preferred.
• Extensive hands-on experience building and deploying ML systems end-to-end.
• Strong emphasis on MLOps, CI/CD, monitoring, and governance.

Responsibilities

• Define and drive the ML strategy with robust architectures and MLOps.
• Lead end-to-end ML pipelines with retraining and optimization.
• Own multiple ML pipelines within security and compliance.
• Implement IaC, CI/CD, and model monitoring with drift detection.
• Collaborate across DS, Platform Eng, Research, and PM teams.

Skills

Docker

Kubernetes

Apache Airflow

Python

TensorFlow

PyTorch

MLOps

CI/CD

Monitoring

Model governance

Education

Master's degree in a quantitative field

PhD in a quantitative field

Tools

Spark

Snowflake

Job description

Salesforce is seeking a Lead member of technical staff in ML Engineering to define and execute the ML strategy with a focus on MLOps, IaC, and CI/CD. You will own multiple ML pipelines across security and compliance and mentor others in best practices.

The role emphasizes production-ready generative AI solutions, model monitoring, and cross-functional collaboration to deliver measurable business impact within a secure framework.