Summary
Join Blue Rose Research, a leading progressive organization, as a talented software engineer. Contribute to cutting-edge projects, including an automated research system, client tools for surveys, and LLM-powered data processing. Collaborate with data scientists and researchers on machine learning models and data pipelines. Work on internal and external user interfaces, focusing on Python, backend engineering, and technical reasoning. Enjoy a competitive salary, benefits, and a supportive remote work environment with an option for in-person collaboration in NYC or DC.
Responsibilities
- Develop 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
- Develop tools for clients to launch surveys and analyze the results
- Use LLMs to automate survey data processing
- Collaborate with data scientists to productionize and own new machine learning models
- Add features and enhance performance of our internal machine learning platform (built on JAX and Tensorflow)
- Scale our data and modeling pipelines to turn around research projects as fast as possible
- Work with internal researchers to turn around bespoke research projects
- Automate survey fielding processes
- Develop internal and external facing user interfaces
- Demonstrate general coding competency: breaking down problems, domain modeling, separation of concerns, clean and correct implementations
- Demonstrate familiarity and comfort with Python (almost all our code is in Python)
- Perform backend engineering: backend business logic, SQL, REST APIs, data storage, robustness, monitoring/observability
- Demonstrate technical reasoning: systems thinking, evaluating trade-offs, having intuition for what's important, thinking about scale/performance
- Communicate your ideas kindly and clearly, both in writing and verbally
- Collaborate effectively on a team and contribute to a warm working environment
- Work in multi-disciplinary teams, working across the breadth of our tech stack
Preferred Qualifications
- Possess experience in data engineering: ETL, SQL, schema design, data pipelines/workflow systems
- Possess experience in machine learning engineering: TensorFlow, numerical computing, Apache Beam & Dataflow, regression analysis
- Possess experience in DevOps: Cloud computing/GCP/AWS, k8s, Terraform
- Possess experience in web development: lightweight HTML/CSS/JS, Flask (we donβt make complex web apps)
- Possess experience in working with political data: working with voter files, political survey data, political data science models
Benefits
- A competitive salary
- Medical, dental, and health benefits
- A work environment that will support your differences
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