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Meta · 8 hours ago

Research Scientist Intern, Smart Glasses in Wearables AI (PhD)

Sunnyvale, CA

Internship

Onsite

Intern

$7,650/mo - $12,134/mo

Meta was built to help people connect and share, and they are seeking a Research Scientist Intern to join their Wearables AI team. The role involves conducting research to advance AI technologies, developing algorithms, and collaborating with cross-functional teams to publish research results that contribute to product development.

Computer Software

Comp. & Benefits

Responsibilities

Perform research to advance the science and technology of intelligent machines

Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources

Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results

Publish research results and contribute to research that can be applied to Meta product development

Qualification

Deep LearningMachine LearningNatural Language ProcessingPythonPytorchTensorflowComputer VisionC++CJavaReinforcement LearningAudio ProcessingConversational AISoftware EngineeringTeam Collaboration

Required

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Multi-modal Systems, Computer Vision, Natural Language Processing, Speech Recognition, Audio Processing, Conversational AI, or other 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 languages

Experience building systems with deep learning frameworks such as Pytorch or Tensorflow

Preferred

A strong interest in theoretical and empirical research and for answering difficult questions with research

Experience in at least one ML/AI area such as Natural Language Processing (Translation, Summarization, Dialog, NER, etc), Speech and Audio Understanding (Recognition, Synthesis, Signal Processing), Computer Vision (Image or Video Analysis), Multi-modal (image, video, audio, text, etc) Reasoning & Retrieval, Reinforcement Learning, Search and Recommendations

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as 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 in touch with the literature of a particular domain and ability to quickly reproduce results, if needed

Demonstrated software engineering experience via a previous internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Experience with the utilization of 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