Employment type
Internship
Organization size
10,000+
Salary
Salary undisclosed
Department
Data Science / Analytics
On-site
Unspecified location
Skills
- ResearchPythonCross Cultural AssimilationDeep Learning AlgorithmsQuantitative AnalyticsDeep Learning3D Rendering
About the role
Description
Research Scientist Intern, Computer Vision - Accel (PhD) Responsibilities
- Develop highly scalable algorithms based on machine learning and neural network methodologies.
- Collaborate with Facebook AI Research (FAIR) scientists to facilitate research that enables learning the semantics of data (images, videos, audio).
- Apply knowledge of relevant research domains along with expert coding skills to platform and framework development projects.
- Analyze, process, and annotate large datasets for use in the training and evaluation of AI systems for use in both research and production tasks.
- Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).
Other requirements
Minimum Qualifications
- Currently has, or is in the process of obtaining a PhD degree
- Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or top AI conferences
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Experience in Python
Research and/or work experience in machine learning, deep learning, and/or computer vision
Preferred Qualifications
- Prior research experience in topics related to 3D reconstruction, novel-view synthesis and neural rendering
- Intent to return to degree-program after the completion of the internship/co-op
- Prior experience with deep learning frameworks
- Extensive experience solving analytical problems using quantitative approaches
- Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
- 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
- Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed
Benefits
🏥
Health insurance
💻
Company equipment
📖
Learning/upskilling
Technology, Information and Internet
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