Research Engineer, Multimodal Data

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, 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. We are looking for a skilled and motivated research engineer with expertise in multimodal data lifecycle (i.e., from collection, model training, to model evaluation and benchmarking). More broadly, the chosen candidate 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.Research Engineer, Multimodal Data Responsibilities

• Collaborate with leadership to define functional requirements and key performance indicators for models, ensuring alignment with research goals and multimodal context understanding.
• Drive the design, implementation, and management of the offline data pipeline for model training and benchmarking, focusing on rigorous multimodal data collections (e.g., vision, audio, eye gaze, IMU, etc.) to push forward model performance.
• Work closely with other Research Scientists on offline and online system benchmarking and develop regular reports of the system shortcomings and performance across the functional requirements.

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.
• 2+ years of experience developing end-to-end ML/data pipelines with a focus on dataset preprocessing and model benchmarking.
• 2+ years of experience experience writing software (Python and C/C++) and executing complex machine learning experiments.
• Research experience in one or more of these areas: NLP, Computer Vision, Multimodal, Speech.

Preferred Qualifications

• PhD degree or equivalent experience in Computer Science, Mathematics, Engineering or a related field.
• Publication record in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout 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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $56.25/hour 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.