Research Scientist, Multimodal Agents (PhD)

At Reality Labs Research (RL-R), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of an always-on augmented reality device that can enable high-quality contextually relevant interactions across a range of complex, real-world tasks in unconstrained environments; to achieve this goal, our team draws on and fundamentally advances methods and knowledge from artificial intelligence, multimodal machine learning, computer vision, and signal processing. More broadly, you will work with a broad and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities.Research Scientist, Multimodal Agents (PhD) Responsibilities

• Define, collaborate, and execute on research that pushes forward the state of the art in multimodal agent frameworks and context understanding
• Work collaboratively with other research scientists to develop novel solutions and models in service of contextualized AI for wearables and augmented reality
• Collaborating and executing experimental design, implementation, evaluation, and reporting results to enable new capabilities for multimodal machine learning models
• Work on curation of large datasets across multiple modalities (e.g., vision, audio, eye gaze, IMU, sEMG)

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
• Publication record in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
• Experience in one or more of the following areas: Agent Frameworks, LLM training, NLP, Multimodal, Computer Vision
• Experience developing end-to-end ML pipelines with a focus on dataset preprocessing, model development and evaluation, software integration, and real-time deployment
• Experience developing software (Python) and executing machine learning experiments

Preferred Qualifications

• Publication record in AI conferences like NeurIPS, EMNLP, ACL, ICCV, CVPR, ICML, NAACL, ICLR, Interspeech, ICASSP
• Experience with developing machine learning models at scale from inception to deployment
• Experience researching and deploying realtime capable agents leveraging multimodal data

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$१,१७,०००/year to $१,७३,०००/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected ch