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Benefits & Perks
•Top Tier compensation with equity
•Health, dental, and vision coverage
•Remote work flexibility
•Annual team offsites
Required Skills
SQL
TensorFlow
Apache Spark
At Meta's Reality Labs Research, our goal is to make Industry-leading 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.
The audio team within Reality Labs Research is looking for an experienced Machine Learning Research Scientist, with a specialty in Spatial Audio processing to to join our team and develop next generation Spatial Audio algorithms in order to bring new and complex audio technologies to life in a product-driven research environment.
Research Scientist, ML Spatial Audio Processing Responsibilities:
- Conduct research, design, develop and prototype novel algorithms and signal processing techniques to solve complex problems at the intersection between spatial audio processing, sound source separation, audio enhancement, and audio perception with applications in VR and AR
- Collaborate with cross-functional teams, including engineering, product management, and user experience, to develop and implement new audio technologies
- Develop and maintain technical roadmaps for audio research and development
- Communicate research results and technical plans to stakeholders, including technical and non-technical audiences
- Collaborate with teams in the larger Reality Labs organization and provide creative leadership on cross-team technologies
Minimum Qualifications:
- 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
- PhD in Electrical Engineering, Computer Science, Acoustics, or a related technical field
- 3+ years of experience in audio research and development, including experience with spatial audio processing, and with ML models designing training and implementation
- Experience with programming languages such as C++, Python, or MATLAB
- Demonstrated experience and understanding of linear and non-linear multichannel spatial audio signal processing
Preferred Qualifications:
- Proven track record of successfully maturing innovative technology in industry or similar environment
- Experience with development of source separation, speech enhancement, noise reduction models
- Experience with development of spatial audio capture algorithms, including signal-dependent and signal-independent approaches
- Publication record in high-quality conferences and journals in the field of audio research
- Demonstrated experience designing, executing and analyzing perceptual studies to evaluate audio performance
- Experience with spatial audio mixing formats - surround, Atmos, Ambisonics
- Experience utilizing any DAW, e.g. Reaper, Audition, Wwise, FMOD, Unity, Unreal, Premiere, Pro Tools
- Experience with virtual and augmented reality audio applications
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 Whats App 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 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.
$117,000/year to $173,000/year + bonus + equity + benefits
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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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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