Computer Vision Research Scientist - Audio (PhD)

Meta Quest
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Job Description

  • Independently implement state-of-the-art models and techniques on PyTorch, Tensorflow or other platforms.
  • Independently identify, motivate, and execute on reasonable medium to large hypotheses (each with many tasks) for model improvements through data analysis, and domain knowledge, and are able to communicate your learnings effectively.
  • Design, perform, and analyze online and offline experiments independently with specific and well thought-out hypotheses in mind.
  • Generate reliable, correct training data with great attention to detail.
  • Identify and debug common issues in training machine learning models such as overfitting/underfitting, leakage, offline/online inconsistency independently and consistently.
  • Understand the model architecture used, and the consequences of this for different hypotheses tested. In general, you have a good understanding of computer vision from an applied perspective, even though you may not be up to date with the state-of-the-art.
  • Able to independently resolve most online and offline issues which affect the hypothesis testing.
  • Aware of common systems considerations and modeling issues, and factor this into modeling choices.

Minimum Qualifications

  • Currently has, or is in the process of obtaining a PhD in the field of Deep learning, Machine Learning, Computer Vision, Computer Science, Computer Engineering or Statistics or a related field.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • 4+ years experience with development and implementation of computer vision or deep learning algorithms.
  • 3+ years experience with scientific programming languages such as Python, C++, or similar.
  • Demonstrated experience in implementing and evaluating work and end-to-end prototypical learning systems.
  • Interpersonal skills: cross-group and cross-culture collaboration.
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications

  • Experience with audio signal processing, audio-visual learning or similar.
  • Experience with building models on speech or acoustic datasets.
  • Proven track record of achieving significant results and innovation as demonstrated by first-authored publications and patents.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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-ext@fb.com.

$116,000/year to $168,000/year + bonus + equity + benefits

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

Company Info.

Meta Quest

Meta Quest is the division of Meta dedicated to revolutionizing the way people perceive and interact with the digital world through immersive virtual reality experiences. It is committed to making VR accessible, entertaining, and a part of everyday life.

  • Industry
    Computer software
  • No. of Employees
    500
  • Location
    Menlo Park, CA, USA
  • Website
  • Jobs Posted

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