Research Scientist, Machine Learning

Oculus iconOculus
Research Scientist, Machine Learning
Oculus iconOculus
Location pin icon
The Facebook Reality Labs Audio Tech team brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories that advance Facebook's mission of connecting the world. The team is focused on algorithm development and commercialization of real world products.
Research Scientist, Machine Learning Responsibilities
  • Research and develop audio ML based audio enhancement algorithms for communications, and music enhancement with Deep learning and DSP methods in C/C++ and deep learning frameworks
  • Prototype hybrid ML solutions with deep learning and signal processing techniques
  • Validate and improve deep learning models to enable implementation of these ML/DNN models in low power real time embedded hardware
  • Define, develop and debug real-time audio system software for forward looking products and user experiences
  • Interface with Facebook AI Research, audio algorithm scientists, ML/AI engineers and other product teams on productizing research algorithms
Minimum Qualifications
  • BS in Electrical Engineering, Computer Science, Computer Engineering, Applied Mathematics, or equivalent relevant experience
  • Understanding of ML, DSP and DNNs theory
  • 3+ years of experience with one or more deep learning/ML frameworks such as Tensorflow, PyTorch or Keras
  • 3+ years of programming experience working with C/C++
  • Experience with a full product lifecycle from concept to deployment
Preferred Qualifications
  • PhD in Electrical Engineering, Computer Science, Computer Engineering, Applied Mathematics
  • Experience developing audio signal processing algorithms such as noise suppression, acoustic echo cancellation, sound field classifications or machine learning algorithms
  • Experience with real-time machine learning systems, training data augmentation and large dataset preparations
  • Experience working with GPU, cloud systems, profiling/low-level optimizations, Cuda/CuDNN
About Meta
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
(Colorado only*) Estimated salary of $177,000/year + bonus + equity + benefits
*Note: Disclosure as required by sb19-085(8-5-20)
Related Job Openings
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at