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Facebook AI Research Scientist - Language Technical Leadership United States, California 16960528
Yesterday
AI Research Scientist - Language (Technical Leadership) Responsibilities
- Help advance the science and technology of intelligent machines
- Work on research projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short & medium term objectives
- Influence progress of relevant research communities by producing publications
- Establish connection with cross-functional partners and contribute research with the goal of applying to Meta's product development
- Lead and collaborate on research projects within a team
- Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems
- Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 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
- Proven track record of recent and consistent publication/citation history
- Experience leading a team in solving modeling problems using AI/ML approaches
- Experience in applying research to production problems
- Experience communicating research for public audiences of peers
- Experience in developing and debugging in Python, C/C++, or C#
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
- 4+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research.
- 4+ years of experience as technical lead for a project of 4 or more individuals.
- First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI).
- Experience with interdisciplinary and/or cross-collaboration.
- Experience bringing machine learning-based products from research to production.
About Meta
$213,000/year to $293,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about at Meta.
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