
Research Scientist Intern, Smart Glasses in Wearables AI (PhD)
Required skills
- Artificial Intelligence
- Multi-modal Systems
- Computer Vision
- Natural Language Processing
- Speech Recognition
- Audio Processing
- Conversational AI
- Python
- C++
- Java
Nice to have
- theoretical research
- empirical research
- Translation
- Summarization
- Dialog
- NER
Role summary
Meta's Wearables AI team is seeking a PhD Research Scientist Intern to advance AI research in areas like deep learning, computer vision, NLP, and audio processing for smart glasses. The intern will develop innovative models and algorithms, aiming for publication and deployment. Responsibilities include conducting research, developing NLP systems, collaborating with teams, and communicating results. Minimum qualifications include a PhD in a relevant technical field, work authorization, and experience with Python/C++/Java and deep learning frameworks like PyTorch or TensorFlow. Preferred qualifications include a strong research interest, experience in ML/AI subfields, a proven publication record, software engineering skills, and experience with enterprise AI platforms.
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.
Minimum Qualifications
- 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 Qualifications
- 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
$7,650/month to $12,667/month + benefits
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