Research Scientist

4 weeks ago

Menlo Park, California, United States META Full time
Join Meta's Research Team as a Research Scientist - Wearables, Input & Interaction

Meta is seeking a highly skilled Research Scientist to join our team in Wearables, Input & Interaction. As a key member of our research team, you will be responsible for advancing our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs.

Key Responsibilities:
  • Design and develop cutting-edge machine learning and signal processing models 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.
Requirements:
  • 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.
  • 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.
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
  • 8+ years of experience working autonomously to design, execute, interpret, and present research studies.
  • 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 and/or cross-cultural collaboration.
  • 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, audio scene recognition, microphone arrays, beamforming, or related topics.
  • Experience with real-time signal processing and/or human-computer interaction.
  • 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).

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Learn about how to prepare for your interview with our interview guide, tips, and interactive experiences. Visit interview prep

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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