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Applied Science Intern, PhD
Исключительная возможность для PhD-студентов поработать над передовыми задачами в области ИИ в крупной международной компании с сильной инженерной культурой и четким планом стажировки.
Сложность вакансии
Высокая сложность обусловлена требованием наличия или получения степени PhD, а также необходимостью глубоких знаний в области мультимодального ИИ, компьютерного зрения и оптимизации алгоритмов для Edge-устройств.
Анализ зарплаты
Зарплата для PhD-интернов в Кембридже (Великобритания) обычно выше среднего уровня стажировок и варьируется в зависимости от конкретной области исследований. Roku предлагает конкурентоспособные условия для топовых талантов.
Сопроводительное письмо
I am writing to express my strong interest in the Applied Science Intern position within the AI @ Roku team. As a PhD candidate specializing in machine learning, I have closely followed Roku's innovations in the streaming ecosystem. My research focus on multi-modal understanding and computer vision aligns perfectly with your project goals for 2026, particularly in developing new TV experiences using Vision-Language Models.
With high-level proficiency in Python and extensive experience using PyTorch for deep learning, I have developed a robust foundation in designing and implementing complex ML models. I am particularly drawn to this internship because of the opportunity to conduct feasibility studies for 'new-to-the-world' ideas and to see how advanced AI algorithms can be optimized for edge deployment within the Roku OS.
I am eager to bring my analytical skills and passion for multimedia content generation to your team in Cambridge. I look forward to the possibility of contributing to Roku's long-term innovation roadmap and learning from your senior engineering leadership.
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Присоединяйтесь к команде Roku в Кембридже и внесите свой вклад в будущее стриминговых технологий на базе ИИ!
Описание вакансии
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku continues a long-term trajectory of supporting summer internship roles within the organization, to provide applicants with experience of our enthusiasm, expertise and company culture.
The Advanced Development, AI @ Roku (Roku’s internal AI productivity suite), Content, and Edge AI team within the Engineering organization has been granted 4 summer internships in 2026. These internships are only available to postgraduate students who are currently studying for a PhD or have recently successfully completed a PhD.
About the role
The purpose of the internship is to involve each student in the work of the AI @ Roku, Content, and Edge AI team. Each student will be assigned a supervisor among the senior members of the team. This supervision aims to ensure that the intern finishes their contract with a clear view of what permanent employment within the AI @ Roku, Content, and Edge AI team would be like.
All the intern projects will be clearly defined at the outset, easy to get started and challenging to complete, and relevant to the AI @ Roku, Content, and Edge AI team’s Q3 and Q4 2026 goals.
Project outlines:
- Multi-modal AI: Building new experiences for TVs with Vision-Language Models, focusing on multi-modal understanding and natural language interaction.
- Developing multimedia content generation techniques
- Content understanding and analysis for episodic and cinematic videos
- Deploying and optimizing AI algorithms to the edge
- Using AI to improve image and video quality
What you'll be doing
- Define, agree, and track the meaningful measures (KPIs) of success in the project.
- Collaborate effectively with other members of the project team to achieve goals.
- Contribute meaningfully to the implementation and delivery of the project.
- Identify and communicate key learnings within and across project teams.
- Actively partner with experts in the project field in Cambridge, and internationally.
- Conduct feasibility studies to determine if 'new-to-the-world' ideas are viable for long-term integration into the Roku OS.
- Present findings and prototypes to the broader engineering and product leadership to influence Roku’s long-term innovation roadmap.
We’re excited if you have
- PhD in STEM discipline (current or recent)
- Strong problem-solving and analytical skills
- Excellent communication and presentation skills
- Proficient in data visualization and interpretation
- High-level proficiency in Python
- Background in mathematics, statistics, and CS
- Ability to design and implement machine learning models
- Familiarity with machine learning frameworks (PyTorch, Tensorflow)
- Understanding of machine learning and computer vision algorithms and techniques
- Experience with image processing pipelines, embedding spaces or modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, LangFuse) is a plus.
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Навыки
- Python
- PyTorch
- TensorFlow
- Computer Vision
- Machine Learning
- Deep Learning
- Natural Language Processing
- LangChain
- LlamaIndex
- Image Processing
- Mathematics
- Statistics
Возможные вопросы на собеседовании
Проверка глубины теоретических знаний в области, указанной в описании проекта.
Расскажите о последних достижениях в области Vision-Language Models (VLM). Как бы вы адаптировали эти модели для работы в реальном времени на ТВ-платформе?
Оценка навыков оптимизации, критически важных для Edge AI.
Какие методы квантования или дистилляции моделей вы бы использовали для развертывания тяжелой нейросети на устройстве с ограниченными вычислительными ресурсами?
Проверка практического опыта работы с современным стеком.
Опишите ваш опыт работы с фреймворками оркестрации LLM, такими как LangChain или LlamaIndex. Какие проблемы вы решали с их помощью?
Оценка способности доводить исследования до продукта.
Как вы определяете KPI для исследовательского проекта, где результат не гарантирован? Приведите пример из вашей научной практики.
Проверка навыков командной работы и коммуникации.
Как вы объясните сложную архитектуру вашей модели стейкхолдерам, которые не являются специалистами в области Data Science?
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