Machine Learning Manager, LLM

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October 21

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Blue Rose Research

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Science

Blue Rose Research is a company focused on research development and innovation. They may work on projects involving scientific and technological advancement, aiming to push the boundaries of knowledge and contribute to various fields through research. Their platforms suggest opportunities for contact and application, indicating a collaborative and growth-oriented approach.

11 - 50 employees

🔬 Science

📋 Description

• Manage 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

🎯 Requirements

• 1+ years managing 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. • Collaborative leader who communicates clearly with technical and nontechnical teams.

🏖️ Benefits

• Competitive medical, dental, and health coverage • Remote-first work environment, with offices and regular meetups in NYC and DC