NLP Architect

Nutanix • San Jose, CA

2d • Hybrid

About The Position

Hungry, Humble, Honest, with Heart. The Opportunity Are you a highly skilled NLP Architect with a strong background in natural language processing and machine learning, looking to push the boundaries of AI-driven data exploration? If so, you’ll thrive on our team at Nutanix, where you will have the opportunity to work on cutting-edge technologies, collaborate with a talented group of engineers, and contribute to building intelligent capabilities that empower users to discover and interact with data in innovative ways. About the Team The senior staff engineer will join the Unified Storage team at Nutanix, located in San Jose, California. This dynamic team is driven by a collaborative culture that emphasizes innovation, agility, and the pursuit of excellence in technology solutions. The mission of the Unified Storage team is to enhance the DataHub platform by integrating intelligent, AI-driven capabilities that empower users to seamlessly discover, understand, and interact with data through natural language processing. You will report to the SVP NCM, GM Unified Storage, who fosters a leadership style characterized by empowerment, open communication, and a strong focus on team collaboration. The work setup for this role is hybrid, requiring in-office presence three days a week to facilitate close interaction with team members and cross-functional collaboration. There are no travel requirements for this role, allowing the selected candidate to focus on developing NLP-driven features in a stable work environment while fully contributing to the team's mission from the San Jose office.

Requirements

• PhD or Master’s in Computer Science, Machine Learning, NLP, or related field
• 5+ years of experience in NLP or applied ML (industry or research)
• Strong understanding of Transformers (GPT, Llama, etc.) and embeddings
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow)
• Experience with NLP libraries (Hugging Face, spaCy, NLTK)
• Familiarity with large-scale data processing and search systems (Elasticsearch, vector DBs)
• Knowledge of knowledge graphs and ontologies
• Experience with RAG architectures and evaluation of LLM outputs

Responsibilities

• Design and develop NLP/LLM-powered features to enhance the DataHub platform.
• Implement advanced techniques for semantic search, metadata enrichment, and data exploration interfaces.
• Build and optimize models for text classification, clustering, and knowledge graph construction.
• Collaborate with data engineers and backend teams to develop data ingestion and API integration workflows.
• Integrate LLMs into production environments, utilizing prompt engineering and retrieval-augmented generation methods.
• Evaluate and iterate on model performance using offline and online metrics.
• Take a leadership role in mentoring junior team members and promoting best practices in NLP development.
• Drive strategic initiatives focused on data quality and governance within AI features of the platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees