Research Scientist Intern, Multimodal AI (PhD)

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented 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, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough 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, VR and MR that are so compelling that they become an integral part of our lives.In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality, and redefining human hearing. See more about our work here: Inside Facebook Reality Labs Research: The future of audio and Filter Out the Noise With Conversation Focus. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart, and allow them to converse in even the most difficult listening environments.Meta Reality Labs Research is looking for experienced interns who are passionate about ground breaking research in audio signal processing, machine learning and audio visual learning to solve important audio-driven problems for AR/VR applications. We currently have open positions for a range of projects in multimodal representation learning, audio visual scene analysis, egocentric audio visual learning, multi-sensory speech enhancement and acoustic activity localization.Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Multimodal AI (PhD) Responsibilities:

• Design, implement, and maintain comprehensive evaluation protocols for large language models, including both automated and human-in-the-loop assessments.
• Develop and curate high-quality datasets and benchmarks to measure model performance, safety, fairness, and robustness across a variety of tasks and modalities.
• Analyze model outputs to identify strengths, weaknesses, and failure modes, and provide actionable insights to research and engineering teams.
• Design and implementation of novel algorithms to solve audio research problems.
• Collaboration with teams building Meta’s language AI products.
• Collaborate with researchers, engineers, and cross-functional partners to define evaluation goals, communicate findings, and drive improvements in model quality.
• Develop tools and infrastructure to streamline and scale evaluation processes, including dashboards, annotation platforms, and reporting systems.
• Stay up-to-date with the latest research in audio LLM evaluation, benchmarking, and responsible AI, and incorporate best practices into Meta’s workflows.
• Disseminate evaluation results through internal reports, presentations, and, when appropriate, external publications.
  
  

Minimum Qualifications:

• 3 years experience with Python, Matlab, or similar
• 3 years experience with machine learning software platforms such as PyTorch, TensorFlow, etc
• Experience building novel audio computational models and LLM
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
  
  

Preferred Qualifications:

• Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision or audio processing
• Experience with audio and speech quality assessment
• Experience with multichannel audio processing
• Experience in visual and acoustic scene analysis
• Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or top computer vision and machine learning conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, ICASSP, InterSpeech or similar
• Experience in utilizing theoretical and empirical research to solve problems
• Experience working and communicating cross functionally in a team environment
  
  

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 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@meta.com.

$7,650/month to $12,134/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.