Blue Rose Research is looking for a software engineer to develop cutting-edge products for progressive organizations, including automated research systems, survey tools, and machine learning models, to inform strategy and advance progressive causes.
Requirements
- 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
- 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
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
- 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
Other
- 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
- 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.
- Candidates must be authorized to work lawfully in the United States.
