About the role#
Meta Reality Labs Research is looking for researchers interested in algorithm and hardware co-design, AI acceleration, and efficient sensing for AR/VR applications. This role focuses on foundational AI technologies including multitasking, multimodal understanding, and privacy to support AI assistant functionalities on wearables. Internships last between 12 and 24 weeks with rolling start dates.
What you'll do#
- Research, design, and execute efficient machine learning algorithms.
- Develop novel ML or computational imaging algorithms and optimize existing ones.
- Research and optimize edge computing algorithms, both ML and non-ML.
- Build, prototype, and characterize experimental systems and custom hardware.
- Collaborate with researchers across multiple disciplines.
- Communicate research progress, agendas, and results.
What you'll need#
- Current enrollment in or pursuit of a PhD in Computer Science, Electrical Engineering, or a related field.
- Intent to return to your degree program after the internship.
- At least 2 years of research experience in machine learning, computer vision, edge computing optimization, or distributed compute architectures.
- At least 2 years of programming experience in Python or C++.
- Experience with Deep Learning frameworks like PyTorch or TensorFlow.
- Ability to obtain and maintain work authorization in the United States.
- Preferred experience includes multimodal ML, real-time deployment on mobile platforms, NAS, hardware-constrained algorithm development, self-supervised pretraining, LLM tuning, or privacy-preserving algorithms.
- A record of achievements such as publications at conferences like CVPR, ICCV, TinyML, NeurIPS, or ICML, as well as patents or grants.
Location & details#
- Location: Redmond, Washington.
- Work modality: On-site.
- Employment type: Full-time intern.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
