Research Engineer - Machine Learning for Behavioral AI

Summary :

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 comfortable, intuitive, and helpful Wearable AI, empowering everyone to harness the superpowers of this emerging technology in their daily lives. We are looking for an AI ML engineer 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.

Required Skills :

Research Engineer - Machine Learning for Behavioral AI Responsibilities :

Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results

Contribute to publications and open-sourcing efforts

Work with a large team

Help identify long-term ambitious research goals as well as intermediate milestones

Prioritize research that can be applied to Meta's product development

Mentor other team members. Play a significant role in healthy cross-functional collaboration

Minimum Qualifications :

Minimum Qualifications :

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Bachelor's degree plus 5+ years experience or a PhD degree in Computer Science or other relevant technical field plus 2+ years experience, or equivalent practical experience

Experience with Python

Experience with a common machine learning framework (preferably PyTorch)

Experience with ML computer vision

Experience developing, maintaining and improving (accuracy, speed, compute costs) complex ML systems

Preferred Qualifications :

Preferred Qualifications :

Experience with multimodal sensing platforms, multimodal signal processing and analysis, and converting raw sensor streams into robust models solving complex tasks

Experience with 3D engines such as Unreal or Unity

Experience working in Augmented Reality or Virtual Reality

Experience with Multimodal Deep Learning approaches and research

Experience developing software in a research environment

Experience with C++

Experience with non-Machine Learning computer vision, especially with OpenCV

Experience with Large Language Models

Public Compensation :

$70.67 / hour to $208,000 / year + bonus + equity + benefits

Industry : Internet

Equal Opportunity :

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.