Мы используем технические cookie и статистику посещений: Яндекс Метрику и собственный обезличенный журнал Zorky (cookie zk_aid). Не собираем содержимое форм, текст поиска и полный IP; данные не продаём. Отказаться можно кнопкой ниже, а также через Global Privacy Control или Do Not Track в браузере. Подробнее о cookie и статистике.
Zorky CRMZorky CRM
EN|RU
@termdocs
← Все вакансии

Research Scientist Intern, On-Device AI Model Optimization (PhD)

internMenlo Park, CA, USСкор 52/1003д назад
Аналитика рынка
📊 AI / ML / DS: зарплаты и спрос на рынке
Стек
llm
Показать компанию и ссылку
Бесплатно. Вход по почте.
Откликнуться
Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.
Отправить резюме →
Описание
Reality Labs advances Meta's vision for virtual reality (VR) and augmented reality (AR). Delivering compelling experiences on AR/VR devices requires innovation and co-design across the full technology stack, from algorithms to custom silicon. Our teams push the state of the art in computer vision, speech, virtual assistants, machine learning, mixed reality, graphics, displays, sensors, and human body tracking. We are seeking interns with a background in developing efficient machine learning models for AR/VR applications, including computer vision, speech, sensor fusion, natural language processing (NLP), and multimodal AI. Our team develops high-performing models within tight compute, memory, and power constraints, using optimization techniques such as sparsity, quantization, compression, neural architecture search, and tensor decomposition. Ideal candidates will have practical experience building real-time models that maintain high accuracy under on-device deployment constraints. In this role, you will gain experience across the full stack, from user experiences and algorithms to hardware execution. You will collaborate with domain experts to understand application challenges and develop state-of-the-art neural networks to address them, then partner with software and hardware teams to deploy these solutions on-device. Our internships range from twelve (12) to twenty-four (24) weeks, with start dates throughout the year. Define, plan, and execute cutting-edge deep learning re
Полное описание, компания и ссылка на вакансию — после входа. Войти
Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.
Срочный вопрос? Напишите @termdocs