Applied ML Researcher

Applied ML Researcher

You'll join our applied ML research team focused on turning raw enterprise data into structured, contextualized knowledge graphs and embeddings. You'll experiment with new approaches for distilling large models into smaller, more efficient ones; improve retrieval, ranking, and reasoning performance through feedback loops; and prototype methods that help LLMs extract and act on real-world knowledge. We're looking for someone who thrives on iteration, cares about building with rigor, and is hungry to learn from some of the best engineers and researchers in the field.

What You'll Be Doing

• Prototype and refine models for extracting structured knowledge from text
• Apply knowledge distillation techniques to compress and optimize LLMs for downstream tasks
• Explore the use of reinforcement learning and feedback loops for improving model behavior
• Build evaluation pipelines for entity linking, retrieval, and semantic consistency
• Read, implement, and build upon recent research in LLM alignment, distillation, and symbolic grounding
• Collaborate closely with infra and data engineers to scale your research into production-ready components

Prior Experience

Nice to Have