Develops and deploys AI/ML models including fine-tuning LLMs and multi-modal systems from concept to production. Requires strong AI/ML skills from top CS/EECS/Math/Physics programs and proven production experience.
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.
Design and build agentic systems for AI-native video creation, integrating LLMs and evaluation frameworks to power creative workflows. Requires 5+ years building ML/agentic systems in production.
Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
Research engineer focused on post-training LLMs and agents for legal work. Requires hands-on experience training open-weight models and strong Python/research engineering skills.