Research Scientist Manager
4 weeks ago
Meta is seeking a Research Scientist Manager to advance our pioneering work in neuromotor interfaces. This technology will become one of the main pillars for interaction with the virtual and augmented world. We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences.
Responsibilities- Build cutting-edge machine learning and signal processing models to advance neuromotor interface capabilities.
- Collaborate with engineering and Human-Computer Interactions 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.
- 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-cultural 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.
- Experience with scientific communication tools (Jupyter, Matplotlib).
- 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.
- Experience with real-time signal processing and/or human-computer interaction.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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