AuctorNew York, NYBuilds and improves core AI agent systems for retrieval, tool use, document understanding, and orchestration in production. Designs evals, analyzes traces, and iterates based on real enterprise workflows using Python and LLM expertise.
ML Engineer building and improving agentic systems powered by LLMs for multimodal video understanding, reasoning, and creative editing tasks at an AI-native video platform. Requires strong production ML experience with transformers, fine-tuning, and experimental rigor.
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.
Leads pre-training and post-training of action-conditioned world models and VLA models for physical AI applications. Requires PyTorch expertise, distributed training, and ML fundamentals; robotics background preferred.
Develops systems for LLM interpretability and deterministic governance by working directly with model weights, activations, and architectures. Implements mechanistic interpretability techniques like activation patching and control vectors for enterprise policy enforcement in production.