Research Engineer

📋 Description

• Design and conduct original research in spatial reasoning for residential construction.
• Design end-to-end LLM training and fine-tuning pipelines for construction domains.
• Apply computer vision to extract semantic structure from architectural inputs and link visuals/text.
• Develop RL-based generative design and RAG systems grounded in construction knowledge bases.
• Define construction-domain benchmarks and eval pipelines; research PEFT techniques (LoRA, QLoRA, adapters).
• Deliver research artifacts and API-ready pipelines; collaborate with Prototyping Engineer to deploy models.

🎯 Requirements

• 5+ years software engineering; 2+ years on LLM development or production ML.
• Hands-on with model training frameworks (HuggingFace Transformers, PyTorch) and domain-specific fine-tuning.
• RAG architectures, vector databases (Pinecone, Weaviate, pgvector), embedding model selection.
• Experience with 3D modeling, computational geometry, or computer graphics in research/production.
• Strong Python; React/TypeScript proficiency for integration work.
• Master's degree in Computer Science, ML, AI, or related field.
• PhD is a plus for model research/pre-training.
• Open-source contributions or published research.

🎁 Benefits

• Remote-first with flexible hours.
• Competitive salaries with equity.
• Medical, dental, and vision coverage.
• Unlimited PTO and parental leave.
• 401K and disability plans.
• Home office stipend.