Intern in Natural Language Processing at BMW Group focusing on AI technologies. Collaborating in research and development for advanced models in a supportive learning environment.
About the role
- NLP Engineer enhancing AI search capabilities in construction tech. Building production-ready NLP systems and developing machine learning models tailored to the industry domain.
Responsibilities
- 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
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