Meta
Research Scientist Intern, On-Device AI Model Optimization (PhD)
Menlo Park, CA +1 · Internship · Posted Oct 19, 2026
- Location
- Menlo Park, CA
Burlingame, CA - Education
- Currently holds or is pursuing a PhD in Computer Science, Electrical Engineering, or a related field.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Conduct deep learning research and optimize models for accurate, real-time deployment on AR/VR devices under compute, memory, latency, and power constraints.
What you'll do
- Plan and execute deep learning research for AR/VR experiences, including LLMs, multimodal models, and reasoning models.
- Develop and evaluate model optimization techniques for on-device applications.
- Collaborate with research, software, and hardware teams to assess accuracy, runtime, and energy trade-offs and communicate results.
What they ask for
- Currently holds or is pursuing a PhD in Computer Science, Electrical Engineering, or a related field.
- Experience developing machine learning solutions and using programming and deep learning frameworks to prototype ideas.
- First-author publications at top-tier machine learning or AI conferences, such as NeurIPS, ICML, ICLR, ACL, AAAI, or similar venues.
- Experience training and running inference with LLMs, multimodal models, or reasoning models, and experience with at least one model optimization technique.
Nice to have
- Demonstrated research and software engineering experience through internships, coding competitions, or open-source contributions.
Pay
$7,650/month to $12,667/month (base salary)
Tools
LLMs, NeurIPS, ICML, ICLR, ACL, AAAI, GitHub
AI focus
Develop and optimize LLMs, multimodal models, and reasoning models for on-device AI, using techniques such as quantization, compression, pruning, distillation, parameter-efficient fine-tuning (PEFT), and speculative decoding.
Model-written summary · the original posting is authoritative