We are seeking exceptional AI Research Scientists, Applied Scientists, or Senior AI/ML Experts with extensive experience in advanced AI systems. This role goes beyond standard AI engineering, requiring expertise in areas such as reinforcement learning, agentic systems, multimodal AI, real-time inference, data ingestion, RAG, fine-tuning, and AI-ready data structuring. Responsibilities Design and prototype advanced AI systems, including agents, reinforcement learning, multimodal AI, RAG, fine-tuning, and inference. Structure internal and external data for effective use by models, agents, and retrieval systems. Build or advise on feedback loops, evaluation methods, and model improvement workflows. Support real-time AI interaction systems involving text, audio, video, or other modalities. Define technical architecture and implementation approaches for multiple AI initiatives. Collaborate with senior AI, ML, data, and product stakeholders to drive project success. Required Skills Strong experience in AI/ML research, applied AI, or advanced ML engineering. Deep knowledge in one or more of the following: reinforcement learning, agents, multimodal AI, speech, computer vision, RAG, fine-tuning, inference, or MLOps. Proven experience in building, researching, or deploying complex AI systems beyond basic LLM or API integrations. Ability to structure messy or proprietary data for AI use cases. Strong technical judgment with the ability to clearly explain architecture, trade-offs, and implementation plans. PhDs in AI-specific areas Nice to Have Experience in real-time AI interaction systems across various modalities. Ability to reason from first principles and work through ambiguity to identify optimal technical solutions. #J-18808-Ljbffr