Staff Research Scientist - Foundation & World Models
Core
Drive research in foundation models, world models, and multimodal learning to advance large-scale pre-training on distributed system telemetry data.
Role type
Staff Research Scientist (hands-on IC)
Builds
Large-scale multimodal models and research artifacts for observability
Domain
AI Research / Observability / Distributed Systems
Deliverable
production ML models
Required skills
foundation models, world models, multimodal learning, generative modeling, large-scale deep learning, model training, evaluation, research direction setting, technical mentorship
Preferred skills
experience with non-text modalities, track record of influential publications
Technologies
large language models, telemetry data (metrics, logs, traces, topology, events)
Responsibilities
Set technical direction for research programs, own research problems end-to-end, train large-scale multimodal models, mentor researchers and engineers, collaborate with product and engineering teams, contribute to publications and open-source artifacts
Seniority
Staff, hands-on IC with strategic influence
