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Meta · 3 weeks ago

Research Scientist Manager - ML Modeling & Applied Research

New York, NY

Full-time

Onsite

Senior Level, Lead/Staff

$177K/yr - $251K/yr

8+ years exp

Meta is a technology company that builds tools to connect people and create immersive experiences. They are seeking a Research Scientist Manager to lead machine learning research in neuromotor interfaces, developing cutting-edge models and collaborating with various teams to deploy innovative technology and enhance user experiences.

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 capabilities

Collaborate with engineering and Human-Computer Interactions (HCI) 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 Learning ResearchTime Series AnalysisEnd-to-End ML PipelinesLarge Scale ComputingSignal ProcessingInterdisciplinary CollaborationSoftware EngineeringQuantitative MethodsScientific CommunicationResearch-oriented Software EngineeringHuman-Computer Interaction

Required

8+ years of experience working autonomously to design, execute, interpret, and present ML research outcomes

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

2+ years of direct management experience, managing Researchers or Engineers

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 bringing machine learning-based products from research to production

Experience with interdisciplinary and/or cross-functional collaboration

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

Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields

Preferred

Experience with real-time signal processing and/or human-computer interaction

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

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)

Experience with scientific communication tools (Jupyter, Matplotlib)