Video Algorithms Intern, Fall 2025 (6 Months)

As a Video Algorithms Intern at Netflix, you will engage in developing machine-learning tools aimed at enhancing video coding standards. Your responsibilities will include analyzing and creating algorithms that improve compression efficiency while maintaining high reconstruction quality. You will work closely with existing technologies, employ state-of-the-art ML architecture, and contribute to innovative solutions that leverage GPU and NPU computing power. Additionally, you will be participating in research-focused initiatives related to video algorithms and coding.

To qualify for the Video Algorithms Intern role at Netflix, candidates must be pursuing a PhD in a technical field such as Computer Science, Engineering, Math, or Statistics, with a graduation date no earlier than Summer/Spring 2026. Significant software development skills are necessary, along with experience in video processing or similar areas. A solid understanding of machine learning concepts and programming proficiency in Python and C/C++ are essential for success in this role.

Machine learning plays a critical role in the Video Algorithms Intern position at Netflix, as it helps improve video compression methods and quality. By leveraging machine learning, you will be tasked with developing models that can better balance compression efficiency and video quality, effectively reducing data sizes while minimizing artifacts introduced during encoding. This innovative approach allows Netflix to maintain high standards in video quality for its global audience.

While interning in the Video Algorithms team at Netflix, you can expect to work on projects that involve state-of-the-art machine learning techniques and their applications in video encoding. Your work may encompass tasks like optimizing existing algorithms, testing new ML architectures, and conducting analyses on real-world data sets to improve video processing capabilities. This hands-on experience will be invaluable in shaping the future of video technology at Netflix.

While prior experience in video compression is not strictly required for the Video Algorithms Intern position at Netflix, having a solid understanding of video coding standards such as HEVC and AV1 will significantly enhance your application. If you demonstrate knowledge in video compression techniques and related projects, such as contributions to open-source multimedia platforms like ffmpeg, it will give you an edge during the selection process.

When answering this question, be specific about the project you worked on, the challenges you faced, and how you utilized machine learning techniques. Discuss the goals you aimed to achieve, the ML models you employed, and the outcomes of the project, emphasizing your contribution and any learned insights.

In your response, describe strategies such as quantization, motion estimation, and using advanced codecs. Highlight any personal experiences where you've applied these techniques in projects and how they influenced the final results, showing your depth of understanding in video algorithms.

Share your approach to keeping up with developments in your field, such as reading research papers, attending conferences, participating in online forums, or following influential researchers. Show that you have a proactive attitude towards knowledge acquisition, especially regarding new machine learning techniques and video processing advancements.

Talk about specific projects where you used Python and C/C++, discussing your familiarity with software engineering best practices, such as version control and testing. Provide examples of how you’ve applied these languages to solve problems or implement features relevant to video processing or algorithms.

Identify specific challenges, such as dealing with large data sets, optimizing algorithms for performance, or balancing compression with quality. Explain how you addressed these challenges, showcasing your problem-solving skills and critical thinking in high-pressure situations.

In your answer, emphasize the importance of clear communication and mutual respect in collaboration. Describe your previous experiences working with cross-functional teams, how you contributed to collaborative projects, and the platforms or tools you used to facilitate smooth teamwork.

Share your passion for video technology and how you believe advancements in machine learning and AI will revolutionize the industry. Discuss specific trends or technologies that intrigue you, demonstrating your enthusiasm and foresight regarding the future landscape of video processing.

If you have experience, detail the specific projects where you used GPU/NPUs, talking about how they affected performance improvements. Mention any programming frameworks or tools you used and your learnings from those experiences.

Describe your hands-on experience with various video codecs, such as H.264, HEVC, or AV1. Discuss specific tasks performed with these codecs, what challenges arose during those experiences, and how they helped you grow as a video algorithm specialist.

Express your admiration for Netflix as an industry leader in video streaming and innovation. Explain how the opportunity aligns with your career goals and how you can contribute to the company’s mission. Demonstrating alignment with Netflix's values and culture will strengthen your response.