Enhance our search capabilities through advanced NLP techniques
Process and analyze a diverse set of documents including text, tables and images
Design and implement entity extraction and text classification systems
Identify and model relationships between entities within and across different document types
Design and implement an efficient indexing structure to enable accurate and fast search capabilities
Design and conduct experiments to evaluate and improve NLP model performance
Develop and maintain language models tailored to the construction industry domain

Requirements

MS/PhD in Computer Science, Computational Linguistics, Information Retrieval or a related field
2+ years of experience in NLP, with a focus on building production-ready systems
Proficiency in Python, ML and experience with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers
Strong experience with information retrieval and search technologies, such as elasticsearch, graph databases, or vector embeddings
Familiarity with LLM-based applications and RAG systems in real-world scenarios
Interest in the construction industry
Bonus: Experience with training or fine-tuning proprietary algorithms
Bonus: Experience with developing complex agentic LLM applications

Benefits

4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance!
Learning & Growth stipend
Flexible long-term work options (remote and hybrid)
Free lunch provided in the office in NYC & Austin - you’ll never go hungry with us!
Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation
IRL / In-Person retreats throughout the year

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

NLPentity extractiontext classificationinformation retrievalindexing structurePythonmachine learningNLTKspaCyHugging Face Transformers

Certifications

MS in Computer SciencePhD in Computer ScienceMS in Computational LinguisticsPhD in Computational LinguisticsMS in Information RetrievalPhD in Information Retrieval