Meta’s Reality Labs Research (RL-R) brings together a world-class team of researchers, developers, and engineers to create the future of Mixed Reality (MR), Augmented Reality (AR), and Wearable Artificial Intelligence (AI). Within RL-R, the ACE team solves complex challenges in behavioral inference from sparse information. We leverage multimodal, egocentric data and cutting edge machine learning to deliver robust, efficient models that serve everyone. Our research provides core building blocks to unlock intuitive and helpful Wearable AI, empowering everyone to harness the superpowers of this emerging technology in their daily lives. We are looking for an experience AI Research Scientist to join us in this initiative. In this role, you will work closely with Research Scientists and Engineers from across RL-R to develop novel state-of-the-art AI algorithms to infer human behavior patterns, with an emphasis on those that inform attention, cognition or emotion. Examples include longitudinal gaze behaviors, gestures, or vocal cues. You will develop end-to-end wearable AI experiential validation platforms using cutting edge generative AI and language models to validate the impact of these signals. Further, you will work with system engineers to optimize these models for efficiency and latency in constrained compute platforms. You will learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR, VR, and AI problem solving. Together, we are going to build cutting-edge prototypes, technologies, and toolsets that can define a paradigm shift in how we interact with our surroundings. We invite you to step into the adventure of a lifetime, as we make science fiction real and change the world.

AI Research Scientist - Machine Learning for Behavioral AI Responsibilities:

Using data from wearable devices, employ state-of-the-art AI algorithms to infer human behavior patterns that inform attention, cognition or emotion. Examples include longitudinal gaze behaviors, gestures, or vocal cues.
Develop data collection strategies, benchmarks, and metrics to validate and improve efficiency, scalability, and stability of these models.
Collaborate with researchers and engineers across diverse disciplines through all stages of project development to identify gaps, build solutions, and transfer technology.
Contribute to research that can eventually be applied to Meta products and services and run on billions of media items every day.
Create tools, infrastructure, and documentation to accelerate research.
Perform code reviews that improve software engineering quality.
Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of Augmented Reality/Virtual Reality problem solving.

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
PhD degree in Computer Science, Human-Computer Interaction, or related field plus 2+ years of experience
Proven track record of solving complex challenges with multimodal ML as demonstrated through grants, fellowships, patents, or publications at conferences like CVPR, NeurIPS, CHI, or equivalent
3+ years of experience with Python
Experience with a common machine learning framework like PyTorch
Experience with ML computer vision
Experience with multimodal sensing platforms, data collection, multimodal signal processing and analysis, and converting raw sensor streams into robust models solving complex tasks

Preferred Qualifications:

PhD degree in Computer Science or related field plus 3+ years experience
First or lead author publications in computer vision, machine learning or computer graphics peer-reviewed conferences (e.g. CVPR, ECCV, ICCV, CHI, NeurIPS, ICLR, etc.).
Experience with biosignals, behavioral signals, or egocentric data from wearable sensors
Experience with Multimodal Deep Learning approaches and research
Experience with Large Language Models
Experience with C++
Experience with non-ML computer vision, especially with OpenCV
Experience with 3D engines such as Unreal or Unity
Experience working in Augmented Reality/Virtual Reality
Experience developing software in a research environment

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$147,000/year to $208,000/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.

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