Role overview
**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