The Rundown AI, Inc.
Visiting Scientist - Reality Labs, Core AI (Technical Leadership)
The Rundown AI, Inc., Burlingame, California, United States, 94012
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.
Visiting Scientist - Reality Labs, Core AI (Technical Leadership) Responsibilities:
Innovate on model compression and inference acceleration techniques for LLMsContribute to research publications and publish at top-tier venuesProvide 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 optimizationUnderstanding of modern ML concepts like LLMs, diffusion models, grounded vision-language models, Multimodal LLMs, model quantizationFirst 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)
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 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.
$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.#J-18808-Ljbffr
Visiting Scientist - Reality Labs, Core AI (Technical Leadership) Responsibilities:
Innovate on model compression and inference acceleration techniques for LLMsContribute to research publications and publish at top-tier venuesProvide 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 optimizationUnderstanding of modern ML concepts like LLMs, diffusion models, grounded vision-language models, Multimodal LLMs, model quantizationFirst 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)
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 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.
$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.#J-18808-Ljbffr