--- title: 'Machine Learning Lead (LLM) at Blue Rose Research' canonical: 'https://feeny.ai/job/machine-learning-lead-llm-blue-rose-research-remote-bdqe20prn9s0' type: 'job' last_seen: '2026-09-10' --- # Machine Learning Lead (LLM) at Blue Rose Research - **Company:** Blue Rose Research - **Location:** Remote - **Work type:** remote - **Posted:** 2025-10-21 - **Last confirmed live:** 2026-09-10 - **Apply:** https://job-boards.greenhouse.io/blueroseresearch/jobs/5684694004 ## Job description About us: [Blue Rose Research](https://blueroseresearch.org/) builds data and AI tools that help Democrats win elections. Our team combines engineering, data science, and political strategy to power decisions for the country’s top campaigns and progressive organizations. We forecast elections, test ads, and use generative AI to help campaigns understand what’s happening in the news; then respond fast with messages that actually work. We have guided how hundreds of millions of dollars are spent in modern campaigns. We’re a small, mission-driven team that builds fast, experiments boldly, and helps progressives communicate and win—guided by curiosity, purpose, and a genuine desire to use technology for good. Machine Learning Lead (LLM & Applied AI) We’re looking for a Machine Learning Lead for a small team of senior data scientists who are developing ML-driven products that power data-informed strategy for civic leaders and organizations. Reporting to the Director of Engineering, you’ll be in charge of the roadmap and technical direction. This is a hands-on role. You'll be collaborating with the team to build the infrastructure, train the models, and deploy them to production. If you’re motivated to use your technical expertise for meaningful, mission-driven work that advances the public good, this role offers the chance to make a tangible impact. Other Responsibilities Include: - Lead a team of senior data scientists focused on fine-tuning large language models, conducting cutting-edge R&D, and building production inference systems. - Collaborate with senior leadership to define the team roadmap and align priorities with organizational goals. - Lead weekly meetings and standups, keeping the team unblocked and execution moving forward. - Provide technical direction across projects using open-weight and off-the-shelf LLMs, as well as other advanced ML techniques. - Oversee experimentation, optimization, and data quality to ensure models are accurate, reliable, and production-ready. - Foster creative problem-solving and methodological rigor when challenges require custom solutions beyond standard ML approaches. - Translate complex model outputs into actionable insights for stakeholders, ensuring technical work drives real-world impact About you: - 1+ years leading data science teams; 6+ years in ML or data engineering. - Strong background in applied statistics, model selection, tuning, and evaluation. - Proficient in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, or JAX). - Experienced in building and deploying production ML and deep learning pipelines. - Familiar with LLMs, embeddings, agentic workflows, and RAG systems. - Comfortable with cloud and DevOps tools (Docker, Kubernetes, Terraform). - Skilled in exploratory data analysis and handling imperfect real-world data. - You’ll thrive in a fast-moving environment where priorities evolve quickly and impact is immediate. - Collaborative leader who communicates clearly with technical and nontechnical teams. Mission-driven, curious about civic and political applications of AI, and fosters a positive team culture. What we Offer: - Salary: $165,000 - $210,000 annually, commensurate with experience - Benefits: Competitive medical, dental, and health coverage - Work Environment: Remote-first, with offices and regular meetups in NYC and DC (primarily East Coast hours) - Culture: Fast-moving, collaborative team doing innovative work with real-world impact - Growth: Opportunities to learn new skills, take on challenges, and shape meaningful projects - Inclusion: We welcome applicants from diverse backgrounds — you don’t need to meet every qualification to apply - Eligibility: Candidates must be authorized to work in the U.S. ## About Blue Rose Research ## Company Overview - **One-liner**: Blue Rose Research helps progressive campaigns and organizations make higher quality strategic decisions by democratizing access to accurate measurement through advanced polling, machine learning, and data infrastructure. - **Entity Type**: Private (operates as a project of OpenLabs) - **Headquarters**: New York City, United States - **Founded**: Not publicly available - **Founders**: Not publicly available ## Core Business - **Primary industry**: Political polling, data analytics, and machine learning for progressive causes. - **Target customers**: B2B – Democratic campaigns, progressive organizations, political action committees, and advocacy groups. - **Mission statement**: “Helps campaigns make higher quality strategic decisions by democratizing access to accurate measurement.” ## Products & Services - **Bayesian Polling Models**: High-dimensional Bayesian models that produce more accurate inferences from polling data than traditional methods. - **Messaging & Communications Testing**: Rapid turnaround A/B testing and guidance for communications professionals on what messages work on key issues. - **Data Infrastructure & Analytics Platforms**: Utility-scale data pipelines and analytics tools used by major progressive organizations to inform strategy and resource allocation. - **LLM & AI Tools (R&D)**: Cutting-edge AI and machine learning tools for prompt evaluation, forecasting, and automated analysis, including a dedicated Machine Learning Lead (LLM) role. ## Market Standing - **Valuation / Revenue**: Not publicly available (private entity). - **Key Metric**: Team of 40+ employees per official site; 32 employees on LinkedIn (as of mid-2025, with +38.9% YoY growth). - **Notable Investors / Partners**: Blue Rose Research is a project of OpenLabs. Its work is trusted by central decision-makers in the progressive ecosystem and has directed hundreds of millions of dollars in campaign spending. - **Growth Signals**: - 38.9% employee growth YoY and 8.7% monthly growth (LinkedIn). - Active hiring for Analytics Manager, Machine Learning Lead, Data Analyst, Product Manager, and multiple research roles. - Expanding into AI/LLM applications and forecasting. ## Competitive Advantages - **Technical moat**: Applies state-of-the-art Bayesian statistics and machine learning to solve fundamental problems in political polling (e.g., non-response bias, small sample sizes). - **Ecosystem access**: Deep relationships with key decision-makers in progressive campaigns – the team’s research has directly guided hundreds of millions of dollars in spending. - **Cross-functional talent**: Combines decorated engineers, PhD data scientists, and political insiders in a single team, enabling end-to-end product development from research to deployment. - **Mission alignment**: All work is exclusively for progressive causes, avoiding conflicts of interest and attracting top talent motivated by impact. ## Strategic Focus - **Current priorities**: - Building AI-powered tools to resist the Trump administration and support Democratic wins. - Scaling the “Insights Library” and survey platform with a new Product Manager hire. - Expanding forecasting and resource allocation tools for campaigns. - **Direction**: Continue to deepen technical sophistication in polling and expand into new domains (e.g., LLMs, automated analysis) while maintaining tight integration with the progressive movement’s strategic needs. ## Why Work Here - **Culture**: Described as a “passionate and progressive” team of software engineers, machine learning engineers, and social scientists. The work is mission-driven, with a strong emphasis on technical rigor and democratic impact. - **Remote / Hybrid**: Many roles are listed as Remote (US-based). Some positions may also be based in New York City. The company appears to support flexible work arrangements. - **Notable perks**: Opportunity to work on technically challenging problems (Bayesian models, LLMs) while directly influencing high-stakes political outcomes. Team includes veterans from Civis Analytics, Google, and academia. The official site emphasizes “building utility-scale data and analytics infrastructure for the progressive left.” - **Engineering culture**: Strong R&D focus; the team has a “storied history” of working with central players and is regarded as among the most technically sophisticated in the political space. Employees are encouraged to “every day question our own core assumptions.” ## Sources 1. [Blue Rose Research – Official Site](https://blueroseresearch.org/) 2. [Blue Rose Research – About Page](https://blueroseresearch.org/about/?stream=top) 3. [Blue Rose Research – Jobs Board (Greenhouse)](https://job-boards.greenhouse.io/blueroseresearch) 4. [Blue Rose Research – Apply Page](https://blueroseresearch.org/jobs/) 5. [Blue Rose Research – LinkedIn Company Profile](https://www.linkedin.com/company/blueroseresearch) ## Other roles at Blue Rose Research - [Product Growth & Adoption Manager](https://feeny.ai/job/product-growth-adoption-manager-blue-rose-research-remote-mnqej4jnfs9w) - [AI Politics Fellow](https://feeny.ai/job/ai-politics-fellow-blue-rose-research-remote-t7a3zt12244m) - [Product Manager / Senior Product Manager](https://feeny.ai/job/product-manager-senior-product-manager-blue-rose-research-remote-rsfbg3g4fgfb) - [Resume Bank](https://feeny.ai/job/resume-bank-blue-rose-research-remote-z41nbhtaapxz)