AI Research Engineer – Meta (formerly Facebook)
Machine Learning / AI Engineers
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Meta (formerly Facebook) (501+ Employees, 34% 2 Yr Employee Growth Rate)
17% 1-Year Employee Growth Rate | 34% 2-Year Employee Growth Rate | LinkedIn | $16.1B Venture Funding
What Is Employee Growth Rate & Why Is It Important?
Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on a range of problems. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. We are hiring in multiple locations.
AI Research Engineer Responsibilities:
- Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta’s products and experiences
- Develop novel, accurate AI algorithms and advanced systems for large scale applications
- Define use cases and develop methodology and benchmarks to evaluate different approaches
Minimum Qualifications:
- BS, MS or Ph.D. degree in Computer Science or related quantitative field
- Industry specialization experience in one or more of the following machine learning/deep learning domains
- Language: NLP, ASR, TTS, conversational AI
- ML theory: reinforcement learning, privacy preserving machine learning, large scale personalization, machine learning fairness, machine learning interpretability, machine learning robustness
- ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization
Preferred Qualifications:
- Experience with distributed systems or on-device algorithm development