Demo

Research Engineer - Audio Data Collection

Lensa
Redmond, WA Full Time
POSTED ON 4/6/2025
AVAILABLE BEFORE 5/5/2025
Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Redmond, WA. Apply via Lensa today!

Summary

At Meta’s Reality Labs Research, our goal is to make world-class consumer virtual, augmented, and mixed reality experiences. Come work alongside industry-leading scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. We are a world-class team of researchers and engineers creating the future of augmented and virtual reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect.We are developing all the technologies needed to enable breakthrough Smartglasses, AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.The Audio team at Meta Reality Labs is looking for a Research Engineer to support large-scale data collection, processing and management to enable research & development of audio AR & VR technologies. You will be supporting on-site data collection activities and building tooling for data processing and management as needed. You will be working closely with researchers and engineers building novel computational & machine learning systems.

Required Skills

Research Engineer - Audio Data Collection Responsibilities:

  • Work with researchers to understand data needs and propose solutions to these needs.
  • Work with data collection project and program managers to prioritize work.
  • Take ownership and leadership on design, setup, and maintenance of data collection systems comprising software and hardware that handles many streams of multi-modal data.
  • Design and implement tooling for data processing, visualization, and management.
  • Data analysis with great attention to detail to identify future data quality improvements.
  • Investigate novel data collection methods.
  • Communication of progress including via posts, presentations, and meetings.
  • Creation of documentation that enables more efficient use of data.
  • Collaboration in a broad and respectful team environment across multiple disciplines.
  • Constant learning, diving into new areas with unfamiliar technologies, and embracing the ambiguity of AR/VR problem solving.

Minimum Qualifications

Minimum Qualifications:

  • Bachelor’s degree or equivalent experience in Computer Science or a related field.
  • 5 years of relevant industry experience.
  • 3 years experience with Python.
  • 3 years experience working with large data collection systems and datasets for machine learning, including capturing, processing, annotating and storage.
  • Experience working with audio including audio processing and acoustic datasets.
  • Experience in communicating effectively with a broad range of stakeholders and collaborators, at different levels.

Preferred Qualifications

Preferred Qualifications:

  • MS in a relevant field such as Deep Learning, Machine Learning, Computer Vision, Computer Science, Statistics or equivalent work experience.
  • Experience with audio signal processing and audio-visual machine learning.
  • Experience with networking and shell scripting.
  • Understanding of visual and other sensors (e.g. motion capture and IMU), with experience in sensor and camera calibration.
  • Understanding of 3D mathematics, applied linear algebra and applied statistics.
  • Experience with building models on speech or acoustic datasets, ideally with Pytorch.

Public Compensation

$139,000/year to $200,000/year bonus equity benefits

Industry: Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Salary : $139,000 - $200,000

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