Meta
Research Scientist Intern, Multimodal and Multitasking Machine Learning (PhD)
Redmond, WA · Internship · Posted Oct 26, 2026
- Experience
- 2+ years of research experience in one or more listed areas; 2+ years programming experience.
- Education
- Currently has, or is in the process of obtaining, 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 research and develop efficient multimodal machine learning algorithms and experimental systems for AI assistants on wearable and edge devices.
What you'll do
- Research and optimize efficient ML, computational imaging, and edge computing algorithms.
- Prototype, build, and characterize experimental systems and custom hardware.
- Collaborate with researchers and communicate research plans, progress, and results.
What they ask for
- Currently pursuing or obtaining a PhD in Computer Science, Electrical Engineering, or a related field.
- 2+ years of research experience in machine learning/computer vision, edge computing optimization, or distributed compute architectures.
- 2+ years of Python/C++ programming experience.
- Must obtain and maintain work authorization in the country of employment; intend to return to the degree program after the internship.
Nice to have
- Experience with deep learning frameworks and multimodal ML; real-time deployment on mobile platforms; NAS or hardware-constrained algorithms; self-supervised pretraining; LLM tuning; or privacy-preserving ML.
- Track record of significant results through publications, patents, or grants.
Pay
$7,650/month to $12,667/month (USD; compensation type not stated)
Tools
Python, C++, Pytorch, TensorFlow
AI focus
Research on efficient and multimodal ML for AI assistant functionality on wearables, including multitasking, audio/visual/spatial understanding, edge deployment, privacy, and hardware-aware algorithms.
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