Machine Learning Lead, LLM

Job not on LinkedIn

🕒 April 30

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Blue Rose Research

WebsiteLinkedInAll Job Openings

11 - 50 employees

🔬 Science

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.

📋 Description

• Lead a team of senior data scientists focused on fine-tuning large language models • Collaborate with senior leadership to define the team roadmap and align priorities • Lead weekly meetings and standups, keeping the team unblocked • Provide technical direction across projects using open-weight and off-the-shelf LLMs • Oversee experimentation, optimization, and data quality to ensure models are production-ready • Foster creative problem-solving and methodological rigor to address challenges • Translate complex model outputs into actionable insights for stakeholders

🎯 Requirements

• 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 • Collaborative leader who communicates clearly with technical and nontechnical teams

🏖️ Benefits

• Competitive medical, dental, and health coverage • Remote-first work environment with regular meetups in NYC and DC • Opportunities to learn new skills and shape meaningful projects • Inclusion: We welcome applicants from diverse backgrounds