Senior ML Platform Engineer - MLOps & Scale (Remote)

AI Breaking Wire; San Francisco (CA); On-site; USD 170,000 - 270,000; Full time

Benefits offered by this job

Stock options

Medical coverage

Dental coverage

Vision coverage

PTO & holidays

401(k) with company match

Professional development budget

Remote work options

Job summary

Databricks is seeking a Senior Machine Learning Engineer for the AI Platform team in San Francisco, CA. You will help build and scale infrastructure enabling data scientists and ML engineers to train, deploy, and monitor models on the Lakehouse Platform.

The role requires strong ML workflows knowledge, distributed systems, and cloud experience. Remote work options are available, with competitive compensation and stock options.

Qualifications

• MS/PhD in CS or related field or equivalent experience.
• 5+ years of experience in ML engineering or software development.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Strong understanding of distributed systems and cloud environments (AWS, Azure, GCP).
• Experience with MLOps best practices.

Responsibilities

• Develop and maintain scalable MLOps tools and services.
• Design and implement features for model training, deployment, and monitoring.
• Optimize performance and reliability of the AI platform.
• Collaborate with product managers and engineering teams to define the roadmap.

Skills

ML engineering

Python

Distributed systems

MLOps

Cloud environments

Collaboration

Education

MS/PhD in CS or related field

Tools

TensorFlow

PyTorch

Spark MLlib

MLflow

Job description

Databricks is seeking a Senior Machine Learning Engineer for the AI Platform team in San Francisco, CA. You will help build and scale infrastructure enabling data scientists and ML engineers to train, deploy, and monitor models on the Lakehouse Platform.

The role requires strong ML workflows knowledge, distributed systems, and cloud experience. Remote work options are available, with competitive compensation and stock options.