We are seeking a highly motivated and talented Research Scientist Intern to join our team in developing cutting-edge binaural speech related Machine Learning models. As a Research Scientist Intern on the Wearables Audio Technologies Team at Meta Reality Labs, you will have the opportunity to work on exciting projects that push the boundaries of what is possible with spatial hearing, speech processing and machine learning.What we offer: - Opportunity to work on cutting-edge research projects with a talented team of researchers- Collaborative and dynamic work environment- Mentorship and support from experienced researchers- Professional development and growth opportunities- Competitive compensation and benefits package
Research Scientist Intern, Binaural Speech ML (PhD) Responsibilities:
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- Train novel deep learning models for binaural speech in noise modeling in Pytorch
- Process and analyze binaural speech and audio data: including data cleaning, feature extraction and visualization
- Collaborate with other researchers to design, conduct, and analyze data collection through listening experiments
- Design and conduct experiments to evaluate the performance of these models and interpret results
- Communicate findings through written reports and presentations
- Currently has, or in the process of obtaining a PhD in Computer Science, Electrical Engineering, Auditory Neuroscience, Acoustic, Audio, Audio Signal processing, Biomedical Engineering or a related field
- Experience in deep learning and speech/hearing/audio sciences
- 2+ years experience with Python and PyTorch
- Understanding of spatial hearing concepts
- Knowledge of human auditory processing, perception and perceptual audio evaluation
- Excellent communication and collaboration skills
- Ability to quickly learn new concepts, techniques, and tools, and apply them to solve complex problems
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
- Experience with spatial audio modeling
- Familiarity with evaluation metrics for speech quality and spatial quality
- Strong programming skills in Python
- Experience with version control systems
- Experience with productionizing ML models
- Intent to return to degree-program after the completion of the internship/co-op
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 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.
$6,688/month to $11,134/month + 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.