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Meta · 21 hours ago

Research Scientist - CTRL Labs

New York, NY

Full-time

Onsite

Senior Level

$184K/yr - $257K/yr

Meta is seeking Research Scientists to advance their work in neuromotor interfaces through product-focused machine learning and signal processing research. The role involves developing computational models, analyzing multimodal data sets, and transitioning research into product applications.

Computer Software

Comp. & Benefits

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)

Qualification

Machine LearningDeep LearningPythonPyTorchSignal ProcessingSoftware EngineeringResearch ExperiencePublicationsTeam Leadership

Required

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

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