Research Engineer, Multimodal Sensing Systems and Machine Learning (ML) at Meta in Burlingame, California

Job Description:

At Meta's Reality Labs Research, our goal is to make world-class consumer virtual, augmented, and mixed reality experiences. Come work alongside industry-leading scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. We are a world-class team of researchers and engineers creating the future of augmented and virtual reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect.The ML/Signals Team for Interactions Research is exploring and designing novel human-computer interaction technologies for the next generation of AI and augmented reality experiences. We are looking for a resourceful, skilled and motivated Research Engineer with expertise in machine learning, software engineering, and systems bring-up to join our team and work on advancing the state-of-the-art for multimodal sensing and gesture recognition. This role will work with a diverse and interdisciplinary team of research scientists and engineers in a fast-paced multidisciplinary environment and will have access to cutting edge technology, resources, and testing facilities.

Research Engineer, Multimodal Sensing Systems and Machine Learning (ML) Responsibilities:

• Design and implement ML pipelines and systems that collect and process datasets and enable algorithm experimentation.


• Build and bring-up complex prototype wearable sensor software and hardware systems for multimodal data collection.


• Develop machine learning and computer vision models for applications such as gesture recognition, hand pose estimation, object detection, contextual understanding, and physiological signal processing.


• Collaborate across an interdisciplinary team of researchers and engineers to collect multimodal training datasets and to develop real-time interaction demos.

Minimum Qualifications:

• 3+ years of experience developing ML pipelines with a focus on dataset preprocessing, model experimentation and evaluation, software integration, and real-time deployment.


• 2+ years of experience developing and evaluating ML/CV models.


• 3+ years of experience coding with Python and software engineering best practices (version control, code reviews).


• Experience bringing-up and debugging prototype/scientific software-hardware systems (e.g., multi-camera sensing/tracking solutions like OptiTrack, wearable sensing systems like electromyography (EMG) etc.).


• Experience working and communicating in a diverse, collaborative, interdisciplinary team environment.


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

Preferred Qualifications:

• Master's degree and 5+ years of industry experience or PhD degree and 3+ years of industry experience.


• Experience in computer vision, multimodal representation learning, self-supervised learning, adaptive ML, reinforcement learning, transfer learning, or other advanced ML/CV techniques.


• Experience with Human-Computer Interaction (HCI) and real-time applications of ML.


• Experience designing data collection protocols and constructing high quality diverse machine learning datasets.

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.


$70.67/hour 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. Apply Now