Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad)
Location
San Francisco, CA
Job Type
Full-time
Category
other-general
Posted
June 18, 2026
**San Francisco, CA, USA**
**Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad)**
Location
San Francisco, CA, USA
Department
AI & Machine Learning
Requisition ID
JOBREQ-2616004
**Role description**
**The opportunity**
Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.
Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large-scale model training, feature generation, and experimentation workflows that power production ML systems.
We’re looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-w...
**Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad)**
Location
San Francisco, CA, USA
Department
AI & Machine Learning
Requisition ID
JOBREQ-2616004
**Role description**
**The opportunity**
Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.
Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large-scale model training, feature generation, and experimentation workflows that power production ML systems.
We’re looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-w...