Research Scientist Intern, Smart Glasses in Wearables AI (PhD)
About The Position
The Wearables AI team at Meta conducts product-motivated research in artificial intelligence, advancing technologies that help people interact with and understand the world. The team develops state-of-the-art algorithms and deploys models to the Ray-Ban Meta family of smart glasses, across on-device and server-side settings. The Research Scientist Intern will develop innovative models and algorithms, with the goal of publishing and deploying the outcomes. The role offers an opportunity to make core algorithmic advances and apply ideas at scale. Internships last 12 to 24 weeks, with various start dates throughout the year.
Requirements
- Currently has or is in the process of obtaining a Ph.D. in Computer Science, Artificial Intelligence, Multi-modal Systems, Computer Vision, Natural Language Processing, Speech Recognition, Audio Processing, Conversational AI, or another relevant technical field.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Experience with Python, C++, C, Java, or other related programming languages.
- Experience building systems with deep learning frameworks such as PyTorch or TensorFlow.
Nice To Haves
- Strong interest in theoretical and empirical research and answering difficult questions through research.
- Experience in at least one ML/AI area, such as natural language processing, speech and audio understanding, computer vision, multimodal reasoning and retrieval, reinforcement learning, or search and recommendations.
- Track record of significant results, demonstrated through grants, fellowships, patents, or first-authored publications at leading workshops or conferences such as ACL, NAACL, EACL, NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ICASSP, or similar.
- Ability to stay current with research literature in a domain and quickly reproduce results when needed.
- Demonstrated software engineering experience through a prior internship, work experience, coding competitions, or widely used open-source contributions.
- Experience using enterprise-level AI, machine learning, and deep learning/LLM platforms involving big data management and GPU compute.
- Experience working and communicating cross-functionally in a team environment.
Responsibilities
- Perform research to advance the science and technology of intelligent machines.
- Develop novel and accurate NLP algorithms and systems using deep learning and machine learning on big data resources.
- Collaborate with researchers and cross-functional partners, communicating research plans, progress, and results.
- Publish research results and contribute to research applicable to Meta product development.
Benefits
- Benefits are offered; no specific benefits are listed.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
