Research Scientist, Neural Interfaces - Machine Learning (Inertial Measurement Unit)

Meta; New York (NY); On-site; USD 147,000 - 208,000; Full time

Job summary

Meta is seeking a Research Scientist specializing in machine learning and neural interfaces to advance human-computer interaction through innovative technologies. This role involves developing advanced machine learning models and collaborating in a research team focused on cutting-edge projects in neuroscience and signal processing. Candidates should possess a strong educational background and relevant industry experience in artificial intelligence.

Qualifications

• Bachelor's in relevant field or equivalent experience.
• PhD preferred with industry experience in AI/machine learning.
• Research-oriented with strong skills in quantitative methods.

Responsibilities

• Develop machine learning models using Inertial Measurement Unit data.
• Build signal processing models for data analysis and event detection.
• Utilize quantitative methods to advance the research agenda.

Skills

Quantitative methods

Machine learning

Signal processing

Education

PhD in machine learning, artificial intelligence, computer science, electrical engineering

Bachelor's degree in Computer Science or equivalent

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

Research Scientist, Neural Interfaces - Machine Learning (Inertial Measurement Unit)

Join to apply for the Research Scientist, Neural Interfaces - Machine Learning (Inertial Measurement Unit) role at Meta

Research Scientist, Neural Interfaces - Machine Learning (Inertial Measurement Unit)

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Join to apply for the Research Scientist, Neural Interfaces - Machine Learning (Inertial Measurement Unit) role at Meta

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$147,000.00/yr - $208,000.00/yr

Meta is seeking a Research Scientist to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we’re building a practical neural interface drawing on the rich motor neuron signals that can be measured non-invasively with neuron-level resolution. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, perceptual psychophysics, and human-computer interaction. We’re looking for people who want to shape the future of this technology and are excited about joining our collaborative research team

Research Scientist, Neural Interfaces - Machine Learning (Inertial Measurement Unit) Responsibilities:

• Research and develop machine learning models that leverage Inertial Measurement Unit sensors
• Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, etc.)
• Use quantitative research methods to define, iterate upon and advance key areas of our research agenda
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in the field of machine learning, artificial intelligence, computer science, electrical engineering, robotics, signal processing, or related fields
• 1+ year of industry experience in the field of artificial intelligence, machine learning, computer science, robotics, signal processing, or related fields
• Expertise/familiarity with hardware sensors such as Inertial Measurement Units
• Research-oriented software engineering skills, including fluency with libraries for scientific computing and machine learning (for example Scikit-learn, PyTorch, TensorFlow)
• Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly
  
  

Preferred Qualifications:

• Experience in the analysis and modeling of high dimensional time series, such as neural signals, multichannel audio recordings, robotic sensory signals, financial time series, video, or other sensor modalities
• Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration
• Experience in signal processing and control theory and familiarity
• First-authored publications at peer-reviewed conferences and journals
• Experience with large scale cluster computing for machine learning modeling
  
  

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 [e-mail].

$147,000/year 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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Technology, Information and Internet

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