Machine Learning Research Scientist - IC7 - Neuromotor Interfaces

Reality Labs at Meta is seeking a Research Scientist with experience in 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 neural interface drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution. This technology will become one of the main pillars for interaction with the virtual and augmented world.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals (i.e., electromyography or EMG), 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.EMG signals are similar in many ways to other neural signals and audio signals and can be analyzed using many of the same approaches. For example, the task of transcribing characters typed on a keyboard from wrist-based EMG is closely analogous to that of automatic speech recognition. We’re looking for people who want to shape the future of this technology and explore this exciting new territory with us.

Machine Learning Research Scientist - IC7 - Neuromotor Interfaces Responsibilities:

• Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, etc.) to advance neuromotor interface products
• Collaborate with engineering and research teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences
• Use quantitative research methods to define, iterate upon and advance key areas of our research agenda
• Develop research-grade code for deployment in research prototypes
• Work across organizational boundaries to solve our biggest problems
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in one of the following fields: artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields
• Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas)
• Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly
  
  

Preferred Qualifications:

• 8 years of experience in designing, executing, interpreting, and presenting ML research
• Demonstrated experience of identifying new opportunities for the larger organization & influencing the appropriate people
• 4 years of experience as technical lead for a project of 4 or more individuals
• Experience bringing machine learning-based products from research to production
• Experience with interdisciplinary collaboration
• Significant experience in the analysis and modeling of high dimensional time series, such as neural signals, multi-channel audio recordings, multi-modal/multi-sensor signals, robotic sensory signals, financial time series, video, or other sensor modalities
• Experience with speech enhancement, speech recognition, speech synthesis, source separation, audio event detection and classification, language modeling, or related topics
• Experience with real-time signal processing
• Experience with large scale cluster computing for machine learning modeling
• Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration
• Experience in software engineering in industry
• Experience with scientific communication tools (Jupyter, Matplotlib)
  
  

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.

$213,000/year to $293,000/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.