Software Engineer (General)

Blue Rose Research develops a wide range of cutting-edge products used by the most important progressive organizations in the country. Our research informs short-term and long-term strategy for advancing progressive causes and has a trusted track record among key decision makers.

The team has a storied history, and has worked with central players to develop strategy and direct hundreds of millions of dollars of resources. The work produced by Blue Rose Research is widely regarded as among the most technically sophisticated in the space. If you join us, you’ll be plugging into a diverse team of engineers, data scientists, and political analysts, who are closely connected to some of the most important decision makers in the progressive ecosystem.

We are looking for a talented software engineer with a broad skill set.

We offer a competitive salary, medical, dental, and health benefits, and a work environment that will support your differences. While the work is remote, we do have an office in NYC and a number of folks who work in-person regularly – both in NYC and at shared workspace meetups in DC. Most of our work happens on East Coast time. 

You might work on:

• 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
• Tools for clients to launch surveys and analyze the results
• Using LLMs to automate survey data processing
• Collaborating with data scientists to productionize and own new machine learning models.
• Adding features and enhancing performance of our internal machine learning platform (built on JAX and Tensorflow)
• Scaling our data and modeling pipelines to turn around research projects as fast as possible
• Working with internal researchers to turn around bespoke research projects
• Automate survey fielding processes
• Internal and external facing user interfaces.

Any project you’ll be working on will involve:

• 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, SQL, 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

Some projects involve more specific skills that you can either learn on the job or bring from past experiences:

• 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