Blue Rose Research · 6 hours ago
Senior Software Engineer (General)
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Responsibilities
An end-to-end automated research system that kicks off data collection, automatically runs machine learning models, and returns results at the click of a button
A self-service web interface for external clients to manage their research projects and visualize the results
Collaborating with data scientists to productionize and own new machine learning models
Adding features and enhancing performance of our internal machine learning platform that abstracts away the internals of our TensorFlow machine learning setup
Automating backend processing systems to launch thousands of surveys and process billions of data points so that we can test thousands of ads and talking points this year
Scaling our data and modeling pipelines to turn around research projects in under 24 hours
Working with internal researchers to turn around bespoke research projects
General coding competency: breaking down problems, domain modeling, separation of concerns, clean and correct implementations
Familiarity and comfort with Python (almost all our code is in Python)
Backend engineering: backend business logic, REST APIs, data storage, robustness, monitoring/observability
Technical reasoning: systems thinking, evaluating trade-offs, having intuition for what's important, thinking about scale/performance
Communication: being able to communicate your ideas kindly and clearly, both in writing and verbally
Kindness and teamwork: collaborating effectively on a team and contributing to a warm working environment
Wearing many hats: working in multi-disciplinary teams, working across the breadth of our tech stack
Data engineering: ETL, SQL, schema design, data pipelines/workflow systems
Machine learning engineering: TensorFlow, numerical computing, Apache Beam & Dataflow, regression analysis
DevOps: Cloud computing/GCP/AWS, k8s, Terraform
Web development: lightweight HTML/CSS/JS, Flask (we don’t make complex web apps)
Political data: working with voter files, political survey data, political data science models
Qualification
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Required
General coding competency: breaking down problems, domain modeling, separation of concerns, clean and correct implementations
Familiarity and comfort with Python (almost all our code is in Python)
Backend engineering: backend business logic, REST APIs, data storage, robustness, monitoring/observability
Technical reasoning: systems thinking, evaluating trade-offs, having intuition for what's important, thinking about scale/performance
Communication: being able to communicate your ideas kindly and clearly, both in writing and verbally
Kindness and teamwork: collaborating effectively on a team and contributing to a warm working environment
Wearing many hats: working in multi-disciplinary teams, working across the breadth of our tech stack
Candidates must be authorized to work lawfully in the United States
Preferred
Data engineering: ETL, SQL, schema design, data pipelines/workflow systems
Machine learning engineering: TensorFlow, numerical computing, Apache Beam & Dataflow, regression analysis
DevOps: Cloud computing/GCP/AWS, k8s, Terraform
Web development: lightweight HTML/CSS/JS, Flask (we don’t make complex web apps)
Political data: working with voter files, political survey data, political data science models
Benefits
Medical
Dental
Health benefits
Company
Blue Rose Research
Blue Rose Research helps campaigns make quality strategic decisions by democratizing access to accurate measurement.
Funding
Current Stage
Early StageCompany data provided by crunchbase