Senior NLP Engineer (Construction Intelligence Platform)

Title: Senior Machine Learning Engineer (NLP)

Location: Hybrid in New York City or San Francisco, or fully remote within the U.S.

Compensation Expectations: Base salary: $180,000–$200,000 + Equity

Role Overview

This role will drive the development, training, and optimization of NLP systems powering a next-generation construction intelligence platform. The engineer will lead model experimentation, deployment, and continuous improvement of features leveraging large language models, retrieval systems, and generative AI components.

Role Duties

• Design, train, and fine-tune LLMs and domain-specific NLP models for text understanding, summarization, and retrieval tasks
• Develop scalable data pipelines, embeddings, and vector search systems for unstructured construction data
• Integrate RAG (Retrieval-Augmented Generation) systems into production applications
• Collaborate cross-functionally with product and platform teams to deliver ML-driven product features end-to-end
• Evaluate and optimize model performance for latency, accuracy, and robustness in production environments

Requirements

• 4+ years of professional industry experience, with at least 2 years focused on NLP
• Proven experience training and fine-tuning LLMs and transformer-based architectures (e.g., GPT, BERT, T5, LLaMA)
• Proficiency in NLP frameworks and libraries such as Hugging Face Transformers, spaCy, PyTorch, TensorFlow, LangChain, and OpenAI APIs
• Experience with search and retrieval technologies including Elasticsearch, Pinecone, Milvus, Weaviate, FAISS, or Vespa
• Familiarity with RAG architectures and building context-aware AI systems
• Strong programming skills in Python and experience deploying ML models in cloud environments (AWS, GCP, or Azure)
• Prior experience in startups or small, fast-paced teams with ownership of full product lifecycles

Benefits

• Competitive cash compensation and meaningful equity stake
• Health, dental, and vision insurance coverage
• Flexible hybrid and remote work options
• Unlimited PTO