Generative AI Research Engineer, Multimodal, Agent Modeling - Cupertino
4 weeks ago
Job summary
We are driving multiple initiatives focused on advancing generative models and seeking candidates experienced in training adapting and deploying large-scale generative models. This role emphasizes AI safety multimodal understanding and generation the development of agentic systems that push the boundaries of what AI can achieve responsibly.The team operates at the intersection of multimodal machine learning system experiences It oversees a range of experiences such as System Experience Springboard Settings Image Generation Genmoji Writing tools Keyboards Pencil u0026 Paper Generative Shortcuts - all powered by production scale ML workflows Our multidisciplinary ML teams focus on a broad spectrum of areas including Visual Generation Foundation Models Multimodal Understanding Visual Understanding of People Text Handwriting and Scenes Personalization Knowledge Extraction Conversation Analysis Behavioral Modeling for Proactive Suggestions Privacy-Preserving Learning These innovations form the foundation of the seamless intelligent experiences our users enjoy every day We are looking for research engineers to architect advance multimodal LLM Agentic AI technologies ensuring their safe responsible deployment in the real world An ideal candidate will have ability lead diverse cross functional efforts spanning ML modeling prototyping validation privacy-preserving learning A strong foundation in machine learning generative AI along with proven ability translate research innovations into production-grade systems essential Industry experience Vision-Language multimodal modeling Reinforcement Preference Learning Multimodal Safety Agentic AI Safety Security meaningful needs Responsibilities include training large scale-multimodal (2D/3D vision-language) models distributed backends deploying efficient neural architectures device private cloud compute addressing emerging safety challenges make model/agents robust aligned human values The core responsibilities advance multimodal capabilities large language models strengthening AI safety security agentic workflows On user experience front work involve aligning image video content space LLMs visual actions multi-turn interactions enabling rich intuitive experiences powered agentic AI systems
Job description
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