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Meta is seeking to advance the field of artificial intelligence by making fundamental advances in technologies to help humans interact with and understand the world, specifically through the development of smart glasses

Requirements

• Experience with Python, C++, C, Java or other related languages
• Experience building systems with deep learning frameworks such as Pytorch or Tensorflow
• 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, Speech and Audio Understanding, Computer Vision, Multi-modal Reasoning & Retrieval, Reinforcement Learning, Search and Recommendations
• Demonstrated software engineering experience via a previous internship, work experience, coding competitions, or widely used contributions in open source repositories
• Experience with the utilization of enterprise level AI, Machine Learning, and Deep Learning/ LLM platforms involving big data management and GPU compute

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

Other

• 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
• Ability to stay in touch with the literature of a particular domain and ability to quickly reproduce results, if needed
• Experience working and communicating cross-functionally in a team environment
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences