Machine Learning Lead (LLM)

Blue Rose Research

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Job Overview

Location

Remote

Salary

USD 165,000 - 210,000 annually

Employment Type

Full-time

Work Arrangement

Remote

Sector

Information Technology & Software

Experience Level

Senior (5-8 years)

About the Company

Blue Rose Research is at the forefront of leveraging data and AI to empower Democratic campaigns and progressive organizations. Our mission is to build innovative data and AI tools that help win elections by providing strategic insights through election forecasting, ad testing, and generative AI applications.

We are a dedicated team of engineers, data scientists, and political strategists committed to using technology for positive impact. Our work guides significant campaign spending and helps progressive voices communicate effectively. We foster a culture of rapid development, bold experimentation, and a shared purpose to advance the public good through technology.

Job Description

Blue Rose Research is seeking a highly skilled Machine Learning Lead to spearhead our efforts in developing advanced AI-driven products. This role is crucial for empowering civic leaders and organizations with data-informed strategies.

You will lead a team of senior data scientists focused on fine-tuning Large Language Models (LLMs), conducting pioneering research and development, and building robust production inference systems. This is a hands-on leadership position where you will collaborate closely with senior management to define the team's roadmap and ensure alignment with organizational objectives.

Key responsibilities include providing technical direction across projects utilizing open-weight and off-the-shelf LLMs, overseeing experimentation and optimization for model accuracy and reliability, and fostering creative problem-solving for complex challenges. You will also be responsible for translating intricate model outputs into clear, actionable insights for stakeholders, ensuring our technical work drives tangible real-world impact.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

PythonSQLPyTorchTensorFlowJAXLLMsEmbeddingsAgentic WorkflowsRAG SystemsDockerKubernetesTerraformApplied StatisticsModel SelectionModel TuningModel EvaluationProduction ML PipelinesDeep Learning PipelinesExploratory Data AnalysisData QualityLeadership

Key Responsibilities

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.

Qualifications

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.
Candidates must be authorized to work in the U.S.

Benefits & Perks

Competitive medical, dental, and health coverage
Remote-first work environment
Opportunities to learn new skills, take on challenges, and shape meaningful projects
Fast-moving, collaborative team doing innovative work with real-world impact

How to Apply

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<p>As a Machine Learning Lead specializing in LLMs and Applied AI, you will steer the technical direction and roadmap for a team of senior data scientists. This hands-on role involves developing cutting-edge ML-driven products that enhance data-informed strategy for civic leaders. You will be instrumental in building infrastructure, training models, and deploying them into production environments, directly contributing to the organization's mission.</p>