Senior Member of Technical Staff- Data Lens
About The Position
Are you an innovative system design engineer with a passion for building groundbreaking AI solutions from the ground up? If so, join Nutanix and lead the design of our Data Lens product, connecting multiple data sources to create a seamless, secure metadata pipeline that empowers enterprise users. This is your chance to work with cutting-edge technology, shaping the future of AI by ensuring our customers have access to clean, trustworthy data, while architecting a pivotal component of our enterprise AI solution. Be at the forefront of innovation in a collaborative environment that fosters growth and creativity. At Nutanix, you'll be joining the Data Lens team, a geo-dispersed group of talented professionals who thrive in a cutting-edge, collaborative, and innovative environment. We are dedicated to pushing boundaries, fostering creativity, and embracing new technologies to deliver exceptional data solutions. Our team’s diverse skill sets and perspectives enable us to tackle complex challenges while supporting one another in a dynamic and engaging atmosphere. You will report to the Technical Director, who is committed to mentoring and guiding team members while fostering an inclusive and supportive environment. The work setup is hybrid, requiring you to be in the office at our San Jose headquarters for three days a week. This arrangement allows for valuable in-person collaboration, while still offering flexibility for remote work. Additionally, there are no travel requirements for this position, enabling you to focus on your projects and contribute to our mission from a stable base.
Requirements
- Master’s in Computer Science, Machine Learning, NLP, or related field
- 5+ years of relevant experience preferably in NLP or applied ML (industry or research)
- Strong understanding of Transformers (GPT, Llama, etc.) and embeddings
- Proficiency in Goland, 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.
Benefits
- 401(k) eligibility
- various paid time off benefits, such as vacation, sick time, and parental leave
- sign-on bonus
- restricted stock units
- discretionary awards
- full range of medical, financial, and/or other benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
