Machine Learning Lead (LLM)

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.

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.

Compensation

• Salary: $165,000 - $210,000 annually, commensurate with experience
• Competitive medical, dental, and health coverage