2 data scientist jobs found in Carlsbad

About the Role We're looking for a Machine Learning Engineer to join our Insurance AI team. You'll be the engineering backbone for our Data Scientists, building and maintaining the ML infrastructure that turns models into reliable, scalable products. This isn't a greenfield build-everything-from-scratch role. Our Sydney-based AI & Computer Vision team has built robust ML tooling and pipelines. Your job is to extend, adapt, and maintain that infrastructure for US-specific use cases. If you're someone who gets satisfaction from making existing systems work better rather than reinventing the wheel, keep reading. You'll work closely with Data Scientists in the US and ML Engineers in Australia, acting as the technical bridge that keeps both teams moving fast. What You'll Do You'll own the ML engineering function for the US Insurance AI team. That means building data and model pipelines, integrating with internal and external APIs, and making sure our Data Scientists have...

The role As a Machine Learing Engineer, you will support a team of Data Scientists with tooling, data transformation, and deploying realtime models on Ray Serve endpoints. The team builds risk models and other related scores, using geospatial data as inputs to identify damage, rate the quality of a roof, or predict the likelihood of damage in the event of a natural disaster. Your role is to support the Data Science team's end-to-end workflow, and to be the key bridge between them and our ML Ops teams and systems in Australia and Poland What you'll be doing Supporting the deployment of new risk models and scores in production. Helping work with large scale data sets (hundreds of millions of rows), and building custom workflows on top of existing foundations. Set up Claude Code usage patterns to allow team members to work more easily with AWS / Ray / Docker / Linux tooling. Own data transformation pipelines that turn semantic geospatial maps of a property into...