Apply on Employer Site

Meta · 3 days ago

Machine Learning Research Scientist - IC7 - Neuromotor Interfaces

Burlingame, CA

Full-time

Onsite

Lead/Staff

$219K/yr - $301K/yr

8+ years exp

Meta is seeking a Research Scientist with experience in machine learning and signal processing research to advance their work in neuromotor interfaces. The role involves building machine learning models, collaborating with teams to deploy these models, and advancing key areas of research in this innovative field.

Computer Software

Comp. & Benefits

Responsibilities

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

Collaborate with engineering and research teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences

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

Develop research-grade code for deployment in research prototypes

Work across organizational boundaries to solve our biggest problems

Qualification

Machine LearningSignal ProcessingQuantitative MethodsResearch-oriented Software EngineeringPyTorchTensorFlowScikit-learnPandasHigh Dimensional Time Series AnalysisInterdisciplinary CollaborationScientific Communication ToolsSoftware Engineering in Industry

Required

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

PhD in one of the following fields: 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

Preferred

8+ years of experience in designing, executing, interpreting, and presenting ML research

Demonstrated experience of identifying new opportunities for the larger organization & influencing the appropriate people

4+ years of experience as technical lead for a project of 4 or more individuals

Experience bringing machine learning-based products from research to production

Experience with interdisciplinary collaboration

Significant experience in the analysis and modeling of high dimensional time series, such as neural signals, multi-channel audio recordings, multi-modal/multi-sensor signals, robotic sensory signals, financial time series, video, or other sensor modalities

Experience with speech enhancement, speech recognition, speech synthesis, source separation, audio event detection and classification, language modeling, or related topics

Experience with real-time signal processing

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)