FAQs
What is the primary focus of the internship role?
The internship role primarily focuses on involving students in the work of the IoT, Content, and Edge AI team, allowing them to contribute to projects related to machine learning and computer vision.
Who is eligible to apply for the Applied Scientist PhD Intern position?
The internship is available only to postgraduate students who are currently studying for a PhD or have recently completed a PhD in a STEM discipline.
What types of projects will interns be working on?
Interns will work on projects that may include building new experiences for IoT cameras, developing multimedia content generation techniques, content understanding, and deploying AI algorithms to the edge.
What skills are required for this internship?
Required skills include strong problem-solving and analytical skills, proficiency in Python, familiarity with machine learning frameworks (like PyTorch and TensorFlow), and an understanding of machine learning and computer vision algorithms.
Will interns receive direct supervision?
Yes, each intern will be assigned a supervisor from the senior members of the team to provide guidance and support throughout the internship.
Are there opportunities for permanent employment after the internship?
The internship aims to give students a clear view of what permanent employment within the IoT, Content, and Edge AI team would be like, which suggests potential opportunities for future employment.
What type of benefits does Roku offer to interns?
Roku offers a range of benefits, including access to mental health and financial wellness support, healthcare options, retirement plans, and time off for vacation and personal reasons.
How does Roku describe its company culture?
Roku prides itself on a culture focused on teamwork, collaboration, problem-solving, and a fast-paced environment where everyone contributes to the company's success.
What will be expected from interns in terms of collaboration?
Interns will be expected to collaborate effectively with other team members, contribute to project implementation, and communicate key learnings within and across project teams.
Where can applicants learn more about Roku and its culture?
Applicants can learn more about Roku and its global footprint by visiting the company’s factsheet at https://www.weareroku.com/factsheet.