Staff Scientist, AI Research & Ontology (Hybrid)

NTT DATA AIVista; San Francisco (CA); Híbrido; USD 300.000 - 400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

401(k) plan

Significant HSA contribution

Paid holidays and flexible PTO

Descripción de la vacante

NTT DATA AIVista is seeking a Member of Technical Staff - Science I in the San Francisco Bay Area/Bellevue, WA, with a hybrid work model. You will drive AI research, develop algorithms for ontology induction and knowledge graphs, and connect learning models with enterprise rules to build scalable products.

The role demands a PhD or equivalent, 5+ years in AI/ML, and a proven track record of impactful research, publications, patents, or shipped AI products, with strong Python experience and a

Formación

• PhD in computer science, machine learning, artificial intelligence, mathematics, physics, or related field, or equivalent industry impact.
• At least 5 years of experience in artificial intelligence or machine learning, with production environment experience.
• Proven record of impactful research through publications, patents, or shipped AI products.

Responsabilidades

• Execute the long-term AI research roadmap aligned with company strategy and measurable business outcomes.
• Define and prioritize technical research bets across LLMs, multimodal AI, agents, knowledge graphs, and evaluation.
• Develop ontology induction, schema matching, entity resolution, and semantic alignment methods.
• Connect learning-based models with symbolic rules and enterprise knowledge.
• Design ontology-grounded agents that reason over typed objects and act through governed interfaces.
• Create evaluations for induction precision, alignment, and semantic consistency.

Conocimientos

Research leadership

Experiment design

ML theory

Science communication

Educación

PhD in CS/ML or related field

Herramientas

OWL

RDF

Python

Descripción del empleo

NTT DATA AIVista is seeking a Member of Technical Staff - Science I in the San Francisco Bay Area/Bellevue, WA, with a hybrid work model. You will drive AI research, develop algorithms for ontology induction and knowledge graphs, and connect learning models with enterprise rules to build scalable products.

The role demands a PhD or equivalent, 5+ years in AI/ML, and a proven track record of impactful research, publications, patents, or shipped AI products, with strong Python experience and a