AI Research Scientist

Skip to main content AI Research Scientist Meta Redmond, WA Apply Join or sign in to find your next job Join to apply for the AI Research Scientist role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. AI Research Scientist Meta Redmond, WA 5 days ago 43 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the AI Research Scientist role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $154,000.00/yr - $217,000.00/yr Meta is seeking a Research Scientist to advance the field of multi-modal understanding. This role focuses on developing models and systems that can reason across multiple modalities including text, images, video, and audio. You will work on cutting-edge research to enable AI systems to perceive, interpret, and generate content across diverse data types, contributing to products that impact billions of users worldwide.AI Research Scientist Responsibilities:Conduct research on multi-modal learning, including vision-language models, audio-visual understanding, and cross-modal reasoningDevelop novel architectures and training methodologies for models that integrate and reason across multiple modalitiesDesign and execute experiments to evaluate multi-modal model capabilities and identify areas for improvementPublish research findings at top-tier conferences and contribute to Meta's research communityCollaborate with cross-functional teams to translate research innovations into product applicationsMentor and guide other researchers on multi-modal AI projectsMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePhD in Computer Science, Machine Learning, Artificial Intelligence, or a related fieldExperience with multi-modal learning, vision-language models, or cross-modal representation learning demonstrated through publications or projectsExperience programming in Python and with deep learning frameworks such as PyTorchExperience with large-scale model training and distributed computingPreferred Qualifications:Experience building end-to-end multi-modal systems from research...