AI Research Scientist, Neuromotor Interfaces, ML & Signal Proc

$177,000 - $251,000/Yr

Meta - Burlingame, CA

Full-time - Senior

Burlingame, CA

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About the position

Reality Labs at Meta is seeking AI Research Scientists with expertise in machine learning and signal processing to advance neuromotor interfaces technology. This role involves building practical neural interfaces that utilize non-invasive neuromotor signals, particularly electromyography (EMG), to enhance interaction with virtual and augmented environments. The position is part of a multi-disciplinary team focused on developing innovative text input methods using human neuromotor signals, aiming to shape the future of this technology.

Responsibilities

• Build cutting-edge machine learning and signal processing models to advance neuromotor interface capabilities.
• Collaborate with engineering and Human-Computer Interactions (HCI) teams to deploy models that leverage scientific knowledge into new technology and user experiences.
• Use quantitative research methods to define, iterate upon, and advance key areas of the research agenda.
• Develop research-grade code for deployment in research prototypes.
• Set technical direction for a project of 2-3 researchers and engineers.

Requirements

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

Nice-to-haves

• 5+ years of experience working autonomously to design, execute, interpret, and present research studies.
• 2+ years of experience as technical lead for a project of 2-3 individuals.
• Experience bringing machine learning-based products from research to production.
• Experience with interdisciplinary and/or cross-cultural collaboration.
• Experience in the analysis and modeling of high dimensional time series, such as neural signals, multi-channel audio recordings, and other sensor modalities.
• Experience with speech enhancement, speech recognition, speech synthesis, and related topics.
• Experience with real-time signal processing and/or human-computer interaction.
• 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).

Benefits

• Competitive salary ranging from $177,000 to $251,000 per year, plus bonus and equity.
• Comprehensive benefits package including health insurance, retirement plans, and paid time off.