Research Scientist, Embedded Machine Learning

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We’re building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology will become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user’s intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action.

Research Scientist, Embedded Machine Learning Responsibilities:

• Research and develop Deep Learning or other computational models under hardware constraints.
• Explore and adopt new model optimization and quantization techniques.
• Adapt standard machine learning methods to best leverage embedded system (e.g. CPU, HTP, NPU, etc.).
• Set technical direction for a project of 2-3 researchers and engineers.
• Help transition and deliver our work from research into product.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience with developing machine learning models at scale from inception to business impact.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• 2 years of experience in machine learning research and development and/or natural language processing.
• Exposure to embedded systems, microcontrollers, edge AI or IoT applications.
• Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields.

Preferred Qualifications:

• First-author publications in machine learning, speech and language technologies, signal processing, electrical engineering, computer science, computational neuroscience, statistics, physics, or related fields.
• Comfort with rapid prototyping and disciplined software development processes.
• Experience bringing machine learning-based products from research to production.

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.