Job Description
Research Scientist Intern, Smart Glasses (PhD) 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.
- Analyze and improve efficiency, scalability, and stability of various deployed systems.
- 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, Natural Language Processing, Speech Recognition, Conversational AI, or relevant technical field.
- Experience with Python, C++, C, Java or other related language.
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
- Experience with deep learning frameworks such as Pytorch or Tensorflow.
- Experience building systems based on machine learning, deep learning methods, or natural language processing.
Preferred Qualifications:
- Intent to return to degree program after the completion of the internship/co-op.
- 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.
- Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, recommendation.
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
- Experience with training deep neural networks for key NLP tasks.
- Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platforms involving big data management and GPU compute.
- Experience building systems based on machine learning, reinforcement learning and/or deep learning methods.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience working and communicating cross functionally in a team environment.
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.
Meta 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, please visit the following URL:https://www.jobmonkeyjobs.com/career/26102470/Research-Scientist-Intern-Smart-Glasses-Phd-Washington-Redmond-7418/→