Senior Machine Learning Engineer

This is an IC role reporting into the Data Science and ML Modeling Manager that has leadership responsibilities including driving strategic roadmaps and priorities to completion by collaborating with cross functional stakeholders.

Design, build and enhance batch and real-time inference services and tooling that support our ML use cases
Facilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development including MLOps
Develop prototypes and partner with ML modelers to encourage adoption of new tools and technologies and plan for future needs of our ML teams
Join a new and growing team and have a significant impact on influencing team culture.

4+ years of combined Machine Learning and Engineering industry experience (full stack ML experience)
A Bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or related technical field
Familiarity with Linux/OS X command line, version control software (git), and software development principles with a machine learning software development life-cycle orientation.
Experience working with product, business, and engineering to prioritize, scope, design, and deploy ML models
Familiarity with Python computing stack, MySQL, Snowflake, Airflow, Java/Go
Hosted models for inference on public clouds like GCP, AWS and/or built micro-services to facilitate event based triggering, feature generation, model inference and downstream actioning.