In this role, you will be driving the direction of research and develop novel techniques for building and optimizing highly efficient foundational models for on-device applications, pushing the state of the art.
- Innovate on model compression and inference acceleration techniques for LLMs
- Contribute to research publications and publish at top-tier venues
- Provide leadership to the engineering teams delivering Assistant experiences on AR and VR devices
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- A PhD in deep learning with applications to computer vision, NLP and model optimization
- Understanding of modern ML concepts like LLMs, diffusion models, grounded vision-language models, Multimodal LLMs, model quantization
- First author publications in top-tier conferences (NeurIPS, ICLR, ACL, ICML, CVPR...)
- Fluency in Python and PyTorch
Preferred Qualifications
- Demonstrated research experience via work experience and publications.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or product releases.
- Top-tier publications on efficient foundational model architectures and model optimization (LLMs, MM-LLMs, Diffusion models, quantization, model compression, distillation etc)
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Locations
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
$213,000/year to $293,000/year + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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