Software Engineer, MLOps - Machine Learning

Onsite San Francisco, California, United States

pythonsqlawskubernetes engineering

greenhouse

Match & cover letter

Create a profile to see your match and get a cover letter for this role.

Create profile and match

Job description

Join Baton as a Software Engineer to enhance MLOps infrastructure in San Francisco. You'll work on automating model management and improving machine learning workflows.

Details

San Francisco, California, work from office
$162,000 - $216,000 annual base salary
Full Time, Hybrid work model
Skills: Python, SQL, AWS, Kubernetes

The work

Build automated capabilities for model monitoring and retraining
Develop and productionize machine-learning models
Create self-serving ML infrastructure for easier model management
Strengthen integration between ML systems and Baton’s core platform