Research Scientist - CTRL Labs

Meta; Salem (OR); On-site; USD 177,000 - 251,000; Full time

Job summary

A leading technology company based in Salem, Oregon is seeking a Research Scientist specializing in product-focused machine learning and signal processing. The ideal candidate will work on advancing neuromotor interface technologies, requiring experience in developing machine learning models and programming skills in Python. Competitive compensation ranges from $177,000 to $251,000 annually, plus benefits.

Qualifications

• Experience with developing machine learning models at scale.
• Hands-on experience with programming in Python.
• Exposure to architectural patterns of large scale software applications.

Responsibilities

• Research and develop Deep Learning or other computational models.
• Design methods to analyze multimodal data sets.
• Transition research work into product.

Skills

Machine learning

Signal processing

Deep Learning

Python

Analysis of multimodal data

Education

Bachelor's degree in Computer Science or equivalent

Ph.D. in Computer Science, Electrical Engineering or related

Tools

PyTorch

Job description

Overview

Summary:

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 could 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.

Responsibilities

• Research and develop Deep Learning or other computational models
• Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets
• Set technical direction for a project of 2-3 researchers and engineers
• Help transition and deliver our work from research into product
• Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics
• 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
• Exposure to architectural patterns of large scale software applications
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP)
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience bringing machine learning-based products from research to production

Compensation

Public Compensation: $177,000/year to $251,000/year + 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].