Own the serving infrastructure connecting ML inference engines to production, building real-time TTS systems on GPU fleets with distributed model serving and cloud infrastructure.
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.