2 days ago
Base Salary
$184k - $257k/yr
Responsibilities
- Identify and solve multidisciplinary ML acceleration problems involving algorithms, network design, hardware architecture, and AR/VR use cases.
- Co-design ML accelerator and system architecture solutions and integrate algorithms and software to use those enhancements.
- Develop model compression and scalability techniques including numerics, pruning, and distillation.
- Optimize models on hardware accelerators under real-time latency and power constraints.
- Define use cases, methodologies, and benchmarks for evaluating alternative approaches.
- Analyze performance, power, and latency trade-offs and influence partners to adopt recommended solutions.
- Stay current with ML acceleration research and contribute to patents and peer-reviewed publications.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- PhD in Electrical Engineering, Computer Science, or equivalent experience.
- Experience developing AI-system infrastructure, AI algorithms, or AI hardware acceleration in C/C++ or Python.
- Experience or knowledge of on-device algorithms, hardware-aware ML models, or ML compiler optimization for AI accelerators is preferred.
- Experience or knowledge of training or inference for large-scale computer vision or language models is preferred.
- Experience with PyTorch, TensorFlow, or similar machine learning toolsets is preferred.
- Research and engineering experience through internships, work experience, coding competitions, or open-source contributions is preferred.
- Experience evaluating system or algorithm designs using performance, power, and latency trade-offs is preferred.
- A record of significant results through grants, fellowships, patents, or publications at leading workshops, journals, or conferences is preferred.
- Experience with responsible and ethical AI practices and ongoing AI skill development is preferred.
Categories
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.