NTT DATA AIVista
Member of Technical Staff - Science I
$300K–$400K
San Francisco Bay Area +1 · Hybrid · Staff · Full-time · Posted Sep 4, 2026
- Location
- San Francisco Bay Area
Bellevue, WA - Experience
- At least 5 years in artificial intelligence or machine learning; significant experience applying science and research in production environments.
- Education
- PhD in computer science, machine learning, artificial intelligence, mathematics, physics, or a related field, or equivalent industry impact.
About the job
Advances AI research and converts it into production enterprise systems, with a focus on ontology-grounded AI, knowledge representation, and governed agents.
What you'll do
- Define and execute research across AI, knowledge representation, safety, and evaluation, aligned with product and business outcomes.
- Develop ontology and knowledge-representation methods and connect symbolic rules and constraints with learning-based models and agents.
- Design evaluations and partner with engineering to deploy, monitor, and improve scalable AI systems.
What they ask for
- PhD in a related field or equivalent industry impact.
- At least 5 years of AI or machine learning experience, including significant research applied in production environments.
- Proven impactful research record through publications, patents, or shipped AI products.
- Strong machine learning and scientific foundations; deep experience in at least one relevant area; proficiency in Python.
Nice to have
- Experience with ontology construction or evolution, knowledge graphs, entity resolution, schema matching, or graph reasoning.
- Experience with OWL, RDF, description logics, semantic query languages, or ontology validation.
Pay
$300,000-$400,000 USD (base salary)
Tools
Python, OWL, RDF, SMT, BPMN
AI focus
Research and production development involving LLMs, multimodal AI, agents, graph machine learning, ontology induction, knowledge representation, neurosymbolic reasoning, safety, alignment, and evaluation.
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