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

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

Job summary

A leading company in the Internet industry is seeking a Research Scientist focused on neural interfaces and machine learning. In this role, you will develop innovative models that harness human potential through advanced signal processing and quantitative methods. Ideal candidates will possess a PhD in relevant fields and have strong expertise in both theoretical and practical applications of machine learning technologies.

Qualifications

• 4. Bachelor's and PhD in relevant fields required.
• 6. 1+ years of industry experience in AI or machine learning.
• 8. Software engineering skills with scientific libraries.

Responsibilities

• Research and develop machine learning models using Inertial Measurement Units.
• Build and refine machine learning and signal processing models.
• Use quantitative methods to advance the research agenda.

Skills

Machine Learning

Signal Processing

Quantitative Methods

Research-oriented Software Engineering

Education

Bachelor's degree in Computer Science or equivalent

PhD in Machine Learning, AI, or related field

Tools

Scikit-learn

PyTorch

TensorFlow

Job description

**Summary:**

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

**Required Skills:**

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

1. Research and develop machine learning models that leverage Inertial Measurement Unit sensors

2. Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, etc.)

3. Use quantitative research methods to define, iterate upon and advance key areas of our research agenda

**Minimum Qualifications:**

Minimum Qualifications:

4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

5. PhD in the field of machine learning, artificial intelligence, computer science, electrical engineering, robotics, signal processing, or related fields

6. 1+ year of industry experience in the field of artificial intelligence, machine learning, computer science, robotics, signal processing, or related fields

7. Expertise/familiarity with hardware sensors such as Inertial Measurement Units

8. Research-oriented software engineering skills, including fluency with libraries for scientific computing and machine learning (for example Scikit-learn, PyTorch, TensorFlow)

9. Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly

**Preferred Qualifications:**

Preferred Qualifications:

10. 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

11. Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration

12. Experience in signal processing and control theory and familiarity

13. First-authored publications at peer-reviewed conferences and journals

14. Experience with large scale cluster computing for machine learning modeling

**Public Compensation:**

$147,000/year to $208,000/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

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].