Machine Learning Manager (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 when challenges need custom solutions beyond standard ML approaches
• ▹Translate complex model outputs into actionable insights for stakeholders
• ▹Work hands-on building the infrastructure, training the models and deploying them to production

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)
• ▹Skilled in exploratory data analysis and handling imperfect real-world data
• ▹Clear communication with technical and non-technical teams
• ▹Authorization to work in the U.S.

Soft skills

What we offer

• ▹Salary: 165,000-210,000 USD 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)
• ▹Fast-moving, collaborative team with real-world impact
• ▹Opportunities to learn and grow

About the company

Blue Rose Research builds data and AI tools that help Democrats win elections. It combines engineering, data science and political strategy to forecast elections, test ads and use generative AI to help campaigns understand the news.