Taste LabsSan Francisco, CABuild AI systems for taste evaluation, synthetic data, agent tooling, retrieval, crawling, inference, and user-facing experiences. The role favors hands-on experience shipping LLM and agent systems, early-stage startup experience, and comfort inventing infrastructure in ambiguous domains.
Build and scale generative video and multimodal models, optimizing training and inference for low latency, efficiency, and production reliability. The role requires deep learning systems expertise, strong PyTorch/CUDA experience, and at least two years of professional industry experience.
Build multimodal agentic systems that use large language models for creative video analysis and editing. The role spans model training, structured generation, evaluation, failure analysis, and deployment of production ML pipelines.
Build and own a mission-critical research platform for evaluating AI model capabilities and behaviors at xAI. Design instruments, datasets, grading schemes, and infrastructure to measure, diagnose, and improve models while shipping delightful internal tools.
Build and ship end-to-end agentic systems and architectures for creative video workflows at an AI-native video platform. Requires 5+ years building production ML/agentic pipelines, deep RAG/context engineering experience, and strong evaluation skills.
Develop and integrate real-time AI/ML perception algorithms and sensor fusion software for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors, ML deployment, and Linux/Docker; US citizenship and security clearance eligibility mandatory.