Applied AI Research Scientist – Multimodal AI Full-time

At Reality Labs Research (RLR), 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, dynamic, real-world tasks in natural 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 diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities.

Applied AI Research Scientist – Multimodal AI Responsibilities

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

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.
• PhD degree or equivalent experience in AI, Computer Vision, Computer Science, Data Science, Engineering or a related technical field.
• 1+ years of experience in one or more of the following areas: LLM training, NLP, Multimodal, Computer Vision, Speech Processing.
• 1+ years of 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.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• Experience with developing machine learning models at scale from inception to deployment.

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.

$117,000/year to $173,000/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 characteristics. You may view our Equal Employment Opportunity notice here .

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