Research Scientist, Fundamental Computer Vision
Company: Meta Inc
Location: Austin
Posted on: May 28, 2023
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Job Description:
Summary:
Meta is seeking a Research Scientist to join our AI Research Team,
a research organization focused on making significant progress in
AI. Individuals in this role are expected to be recognized experts
in identified research areas such as artificial intelligence,
machine learning, computational statistics, and applied
mathematics, particularly including areas such as deep learning,
graphical models, reinforcement learning, computer perception,
natural language processing and data representation. The ideal
candidate will have a keen interest in producing new science to
understand intelligence and technology to make computers more
intelligent.
Required Skills:
Research Scientist, Fundamental Computer Vision
Responsibilities:
Lead research to advance the science and technology of intelligent
machines
Lead research that enables learning the semantics of data (images,
video, text, audio and other modalities)
Devise better data-driven models of human behavior
Work towards long-term ambitious research goals, while identifying
intermediate milestones
Influence progress of relevant research communities by producing
publications
Contribute research that can be applied to Meta's product
development
Lead and collaborate on research projects within a globally based
team
Mentor other team members. Arbitrate in cases of technical
disagreement among team members. Play a significant role to have a
healthy cross-functional collaboration
Minimum Qualifications:
Minimum Qualifications:
Experience holding a faculty, industry, or government researcher
position
Ph.D. and publications in machine learning, AI, computer science,
statistics, applied mathematics, data science, or related technical
fields
Experience leading a team in solving modeling problems using AI/ML
approaches
Experience in theoretical and empirical research and for addressing
research problems
Experience communicating research for public audiences of peers
Knowledge in a programming language
Must obtain work authorization in country of employment at the time
of hire, and maintain ongoing work authorization during
employment
Bachelor's degree in Computer Science, Computer Engineering,
relevant technical field, or equivalent practical experience.
Preferred Qualifications:
Preferred Qualifications:
1+ year(s) of work experience in a university, industry, or
government lab(s), in a role with primary emphasis on AI
research
Experience driving original scholarship in collaboration with a
team
First author publications experience at peer-reviewed AI
conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
Experience in developing and debugging in C/C++, Python, or C#
Public Compensation:
$173,000/year to $241,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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,
reproductive health decisions, or related medical conditions),
sexual orientation, gender identity, gender expression, age, status
as a protected veteran, status as an individual with a disability,
genetic information, political views or activity, or other
applicable legally protected characteristics. You may view our
Equal Employment Opportunity notice here. We also consider
qualified applicants with criminal histories, consistent with
applicable federal, state and local law. We may use your
information to maintain the safety and security of Meta, its
employees, and others as required or permitted by law. You may view
Meta's Pay Transparency Policy, Equal Employment Opportunity is the
Law notice, and Notice to Applicants for Employment and Employees
by clicking on their corresponding links. Additionally, Meta
participates in the E-Verify program in certain locations, as
required by law
Keywords: Meta Inc, Austin , Research Scientist, Fundamental Computer Vision, IT / Software / Systems , Austin, Texas
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