Skip to content
Home » Facebook Intern – Research Intern In Hinckley

Facebook Intern – Research Intern In Hinckley

Website Meta

About the job

Facebook is seeking Research Interns to join our Natural Language Processing teams in Menlo Park, California, New York, New York, and Seattle, Washington. These teams are part of the Facebook AI Research organization within Facebook, working to advance the state of the art in natural language understanding and generation, and deploys these systems at scale to break down language barriers, enable people to understand and communicate with anyone, and to provide a safe experience—no matter what language they speak.The opportunities and challenges of this work are immense. Billions of people use our services to connect and communicate in their preferred language, but many of these languages lack traditional NLP resources and our systems need to be robust to the informal tone, slang and typos often found in daily communication.Our research spans multiple areas across NLP and machine learning, including deep learning/neural networks, machine translation, speech translation, natural language understanding and generation, language modeling, pretraining, low-resource NLP, question answering, dialogue, and cross-lingual and cross-domain transfer learning.As a Research Intern, you will help us apply cutting-edge NLP algorithms to a wide range of media understanding challenges at Facebook. The duration of this internship is 16 weeks with Summer, Fall, and Winter start dates. Internships will be awarded on a rolling basis and candidates are encouraged to apply early. To learn more about our research visit https://ai.facebook.com/.

Research Intern, AI – Natural Language Processing 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.
  • Contribute research that can be applied to Facebook product development.
  • Analyze and improve efficiency, scalability, and stability of various deployed systems.

Minimum Qualifications:

  • Currently has, or is in the process of obtaining a PhD degree.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • experience in PyTorch, Python or C/C++.
  • Research and/or work experience in machine learning, deep learning, and/or Natural Language Processing.

Preferred Qualifications:

  • Intent to return to degree-program after the completion of the internship/co-op.
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ACL, EMNLP, NAACL, AAAI, ICML, NeurIPS, ICLR or similar.
  • Ability to communicate complex research in a clear, precise, and actionable manner.
  • A strong interest in theoretical and empirical research and for answering hard questions with research.
  • Interpersonal experience: cross-group and cross-culture collaboration.
  • Experienced with the development of enterprise level AI, machine learning and deep learning platform involving big data management and GPU compute.
  • Experienced with training deep neural networks for key NLP tasks.

Facebook is proud to be an Equal 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.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

To apply for this job please visit www.linkedin.com.