Blue Rose Research | Machine Learning Engineer | Remote | $130-170K | Full time
Blue Rose Research helps campaigns make higher quality strategic decisions by democratizing access to accurate measurement.
We’re a team of 20+ passionate and progressive software engineers, machine learning engineers, and social scientists on a mission to make high quality research and testing widely available for the progressive community.
We are looking for a machine learning engineer to help develop applied ML models and own end-to-end pipelines that will enable us to deliver real-time insights and guidance to key clients this election cycle. Our pipeline involves using deep learning to fine-tune large, powerful transformer models, and we are excited to be applying the latest advances in AI tools to our unique, private dataset. This role requires full-stack machine learning and data engineering skills, and will closely collaborate with our interdisciplinary team to scope technical needs, contribute new functionality to our ML framework, wrangle messy data and write ETL, train and iterate on models, and own modeling output that will be delivered to client-facing stakeholders.
This is a remote position, but candidates must be authorized to work in the US.
Blue Rose Research helps campaigns make higher quality strategic decisions by democratizing access to accurate measurement.
We’re a team of 20+ passionate and progressive software engineers, machine learning engineers, and social scientists on a mission to make high quality research and testing widely available for the progressive community.
We are looking for a machine learning engineer to help develop applied ML models and own end-to-end pipelines that will enable us to deliver real-time insights and guidance to key clients this election cycle. Our pipeline involves using deep learning to fine-tune large, powerful transformer models, and we are excited to be applying the latest advances in AI tools to our unique, private dataset. This role requires full-stack machine learning and data engineering skills, and will closely collaborate with our interdisciplinary team to scope technical needs, contribute new functionality to our ML framework, wrangle messy data and write ETL, train and iterate on models, and own modeling output that will be delivered to client-facing stakeholders.
This is a remote position, but candidates must be authorized to work in the US.
Apply here: https://boards.greenhouse.io/blueroseresearch/jobs/494755700...