Machine Learning Engineer
Campbell, CA · On-site
Become an expert in our product space, such that you're able to find new opportunities from data ... You thrive in highly collaborative environments and are down to riff with us on anything from ...
Campbell, CA · On-site
Become an expert in our product space, such that you're able to find new opportunities from data ... You thrive in highly collaborative environments and are down to riff with us on anything from ...
Campbell, CA · On-site
Become an expert in our product space, such that you're able to find new opportunities from data ... You thrive in highly collaborative environments and are down to riff with us on anything from ...
Campbell, CA · On-site
You can jump into a new environment and hit the ground running without much hand holding * You're ... You thrive in highly collaborative environments and are down to riff with us on anything from ...
Campbell, CA · On-site
You can jump into a new environment and hit the ground running without much hand holding * You're ... You thrive in highly collaborative environments and are down to riff with us on anything from ...
| Aspect | New Riff | Distillery Worker |
|---|---|---|
| Required Credentials | High school diploma, certifications in distillation or alcohol safety | High school diploma, on-the-job training |
| Work Environment | Distillery production area, safety gear required | Distillery floor, manual labor involved |
| Industry Usage | Distillery operations, manufacturing | Distillery operations, manufacturing |
New Riff is a specific distillery brand involved in whiskey production, whereas a Distillery Worker is a general role within distilleries. While both roles work in the same industry and environment, New Riff refers to a company or product, and a Distillery Worker is a job position. Understanding this distinction helps clarify career paths and industry terminology.

Build and maintain machine learning models for targeting, risk, pricing, product relevance, and automation of back-office processes.
Monitor production models for distribution shifts in data and adjust models as needed.
Participate in system architecture decisions, design reviews, and code reviews to ensure best practices.