Frontier Tech Multimodal Jobs

TLDR: Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform that operates at 100M+ API calls

Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences.

Strong experience in image understanding, video modeling, or multimodal learning.

Leverage multimodal foundation models for automated data curation, synthetic edge-case generation, and failure triage.

Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences.

Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences.

You will: Analyze and characterize internal feature representations of deep multimodal perception foundation models.

Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g.,

Define rigorous evaluation criteria for Generative AI, agentic AI, multimodal AI, geospatial models, predictive systems, and ML-enabled product

You will: Research and develop novel visual and spatio-temporal reasoning methods for multimodal Perception Foundation

Responsibilities: Design and run large-scale training pipelines for multimodal / VLA systems.

Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g.,

Establish best practices for scaling multimodal training efficiently on large GPU/TPU clusters.

Model Patient State: Develop models that characterize patient state and predict outcomes and clinical endpoints from multimodal