Research Scientist Intern - Language And Generative Ai (Phd)

Summary
Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.XR Tech's Core AI team is seeking a Research Scientist Intern with a focus on Natural Language Processing and Generative AI. Our team is pioneering AI research across text, audio, and video domains, with a mission to develop AI-driven large language models and their applications. We are committed to advancing state-of-the-art algorithms, promoting open research, and fostering scientific innovation in all aspects of AI for language, including language modeling, natural language understanding and generation, on-device/personalized LM, and multimodal applications.As a Research Scientist Intern, you will play a crucial role in developing cutting-edge models and algorithms in AI Research. We are seeking a candidate with expertise in NLP algorithms and applications. The ideal candidate will have a strong background in NLP, and general machine learning, coupled with a deep passion for language technologies.
Research Scientist Intern - Language and Generative AI (PhD) Responsibilities:

• Perform research to tackle unsolved real-world problems and push the state of the art in natural language processing.
• Independently design and implement algorithms, train advanced language models on large datasets, and evaluate their performance.

Minimum Qualifications:

• Currently is in the process of obtaining a PhD in the field of Artificial Intelligence, a related field, or equivalent practical experience
• Research experience in one or more of these areas: natural language processing, machine learning, deep learning, or related fields.
• Experience working with machine learning libraries like Pytorch, Tensorflow, etc.
• Knowledge of deep learning and neural networks.
• Experience with scripting languages such as Python and shell scripts.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Intent to return to degree-program after the completion of the internship/co-op
• Experience with developing scalable machine learning models in at least one of the following areas: large language models, natural language understanding or generation, efficient training and inference, multimodals, or relevant areas.
• Experience with large scale model training, implementing algorithms, and evaluating language systems.
• Proven track record of achieving significant results as demonstrated by publications at leading conferences such as NeurIPS, ICLR, ACL, EMNLP, NAACL, ICML, AAAI or similar.
• Experience working and communicating cross functionally in a team environment
• Experience solving complex problems and comparing alternative solutions, trade offs, and diverse points of view to determine a path forward.

EOE
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.
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