Multimodal Jobs

validation systems Model inference pipelines Design and optimize storage solutions for structured, unstructured, and multimodal

Fleets of vehicles collect ground truth from multimodal sensors which feed ingestion pipelines, dynamic change detection algorithms, machine learning models, and

Experience optimizing Mixture-of-Experts or multimodal models.

Experience designing for automotive, enterprise software, developer tools, or platform products Experience with embedded devices, voice, multimodal

architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles Integrate foundation models (LLMs, VLMs, and multimodal

Experience designing evals for agentic / coding / long-context / multimodal use cases.

architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles Integrate foundation models (LLMs, VLMs, and multimodal

Experience with synchronized video, robot state, actions, or other multimodal time-series data.

Integrate emerging foundation models, tokenizers, prompt formats, sampling methods, attention variants, multimodal inputs, and model-specific features

Experience with AI/ML infrastructure, LLM inference, model deployment, multimodal workloads, or large-scale compute environments.