About the job
About Us:
Blue Rose Research is dedicated to creating innovative data and AI tools that empower Democrats to secure electoral victories. Our multidisciplinary team merges engineering, data science, and strategic political insight to fuel decision-making for leading campaigns and progressive organizations. We analyze electoral trends, test advertising strategies, and leverage generative AI to enable campaigns to respond effectively to current events with impactful messaging. Our guidance has influenced the allocation of hundreds of millions in campaign spending. As a compact, mission-driven team, we prioritize rapid development, bold experimentation, and assist progressives in communicating effectively and achieving success, all while driven by a sense of curiosity and a commitment to utilizing technology for positive change.
Machine Learning Lead (LLM & Applied AI)
We are seeking a Machine Learning Lead to oversee a team of skilled data scientists developing ML-driven solutions that inform strategies for civic leaders and organizations. Reporting directly to the Director of Engineering, you will take charge of the team’s roadmap and technical vision. This role is hands-on, requiring collaboration with your team to construct infrastructure, train models, and deploy them into production. If you are eager to apply your technical skills in a meaningful context that promotes public welfare, this position offers the opportunity to create a significant impact.
Key Responsibilities:
- Lead a team of senior data scientists dedicated to optimizing large language models, conducting innovative R&D, and developing production inference systems.
- Work in partnership with senior leadership to establish the team’s roadmap and align priorities with organizational objectives.
- Facilitate weekly meetings and stand-ups to ensure team progress and remove any obstacles to execution.
- Provide technical guidance across projects utilizing open-weight and proprietary LLMs along with other advanced ML methodologies.
- Oversee testing, optimization, and data integrity to guarantee the accuracy, reliability, and readiness of models for production.
- Encourage creative problem-solving and methodological rigor when custom solutions are necessary beyond standard ML techniques.
- Convert complex model outputs into actionable insights for stakeholders, ensuring that our technical efforts yield real-world benefits.
About You:
- 1+ years of experience leading data science teams; 6+ years in machine learning or data engineering.
- Strong foundation in applied statistics, model selection, tuning, and performance evaluation.
- Proficient in Python, SQL, and contemporary ML frameworks.
