Machine Learning Lead (LLM)

Stack

Responsibilities

• ▹Lead a team of senior data scientists focused on fine-tuning large language models, cutting-edge R&D and building production inference systems
• ▹Define the team roadmap with senior leadership and align priorities with organizational goals
• ▹Lead weekly meetings and standups, keeping the team unblocked
• ▹Provide technical direction across projects using open-weight and off-the-shelf LLMs and other advanced ML techniques
• ▹Oversee experimentation, optimization and data quality so models are accurate, reliable and production-ready
• ▹Foster creative problem-solving and methodological rigor where custom solutions are needed
• ▹Translate complex model outputs into actionable insights for stakeholders
• ▹Build the infrastructure, train the models and deploy them to production with the team

Requirements

• ▹1+ years leading data science teams; 6+ years in ML or data engineering
• ▹Strong background in applied statistics, model selection, tuning and evaluation
• ▹Proficiency in Python, SQL and modern ML frameworks (PyTorch, TensorFlow or JAX)
• ▹Experience building and deploying production ML and deep learning pipelines
• ▹Familiarity with LLMs, embeddings, agentic workflows and RAG systems
• ▹Comfort with cloud and DevOps tools (Docker, Kubernetes, Terraform)
• ▹Skill in exploratory data analysis and handling imperfect real-world data
• ▹Authorization to work in the U.S.

Soft skills

What we offer

• ▹Salary $165,000 - $210,000 annually, commensurate with experience
• ▹Competitive medical, dental and health coverage
• ▹Remote-first, with offices and regular meetups in NYC and DC (primarily East Coast hours)
• ▹Opportunities to learn new skills and take on challenges

About the company

Blue Rose Research builds data and AI tools that help Democrats win elections: it forecasts elections, tests ads and uses generative AI to help campaigns respond fast. It is a small, mission-driven team.