Description
Summary:
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.
Required Skills:
Visiting Scientist – Reality Labs, Core AI (Technical Leadership) Responsibilities:
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Innovate on model compression and inference acceleration techniques for LLMs
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Contribute to research publications and publish at top-tier venues
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Provide leadership to the engineering teams delivering Assistant experiences on AR and VR devices
Minimum Qualifications:
Minimum Qualifications:
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Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
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A PhD in deep learning with applications to computer vision, NLP and model optimization
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Understanding of modern ML concepts like LLMs, diffusion models, grounded vision-language models, Multimodal LLMs, model quantization
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First author publications in top-tier conferences (NeurIPS, ICLR, ACL, ICML, CVPR…)
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Fluency in Python and PyTorch
Preferred Qualifications:
Preferred Qualifications:
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Demonstrated research experience via work experience and publications.
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Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or product releases.
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Top-tier publications on efficient foundational model architectures and model optimization (LLMs, MM-LLMs, Diffusion models, quantization, model compression, distillation etc)
Public Compensation:
$213,000/year to $293,000/year + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
