AI Research Scientist, SysML

Job Title

AI Research Scientist, SysML

Role Summary

Join Reality Labs Silicon to develop algorithms, models, and system-level solutions that enable compute- and power-efficient training and on-device inference of vision and language models for AR/VR and edge devices. The role spans algorithm development, hardware-aware model optimization, and co-design with hardware and software teams.

Experience Level

Mid-level. Candidates typically hold advanced research experience; the posting expects doctoral-level expertise or equivalent practical experience.

Responsibilities

Core responsibilities include research, prototyping, and evaluation across models, compilers, and accelerator/hardware designs.

• Identify and solve multi-discipline ML acceleration problems spanning algorithms, network design, hardware architecture, and AR/VR use cases.
• Collaborate across hardware and software teams to drive co-design and integration of algorithmic and architectural improvements.
• Invent and prototype ML accelerator and system architecture solutions and integrate software to leverage those enhancements.
• Develop model compression and scalability techniques (numerics, pruning, distillation, etc.) for efficient deployment.
• Optimize models for hardware accelerators to meet latency, power, and real-time constraints.
• Define use cases and build benchmarks and methodology to evaluate alternatives.
• Communicate trade-offs and influence partners through data-driven analysis.
• Publish and present research; contribute to patents and peer-reviewed publications.

Requirements

Must-have skills and experience for successful performance in this role. Preferred items are listed separately.

• Proven experience developing AI-system infrastructure, AI algorithms, or AI hardware acceleration using C/C++ or Python.
• Experience working across algorithm, compiler, and hardware stacks to optimize models for accelerators.
• Hands-on experience with model optimization techniques (quantization, pruning, distillation) and hardware-aware model design.
• Ability to evaluate trade-offs in performance, power, and latency and recommend practical solutions.
• Strong cross-functional communication and collaboration skills.

Nice-to-have:

• Experience training or deploying large-scale CV models and/or LLMs.
• Familiarity with PyTorch, TensorFlow, or similar ML frameworks.
• Experience with ML compilers or optimizing compilers for efficient accelerator deployment.
• Track record of research impact (publications, patents, grants) or widely used open-source contributions.
• Experience implementing responsible AI practices (risk assessment, bias mitigation, quality reviews).

Education Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience; PhD in Electrical Engineering, Computer Science, or equivalent experience is indicated/expected for this role. The posting explicitly allows equivalent practical experience in lieu of formal degrees.

About the Company

Company: Meta Platforms

Headquarters: Menlo Park, California, United States

American technology company that develops social networking products (Facebook, Instagram, WhatsApp) and invests in virtual/augmented reality hardware and software through Reality Labs, focusing on connectivity, advertising, and immersive computing experiences.