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Software Engineer – Technical Leadership – AI Specialist
| Company | Meta |
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| Location | Menlo Park, CA, USA |
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| Salary | $213000 – $293000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 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
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 and medium term objectives
- Influence progress of relevant research communities by producing publications
- Establish connections 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
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-functional collaboration
- Experience bringing machine learning-based products from research to production
