Algorithm Engineer Intern
2 weeks ago
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform.
We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes.
Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility.
Join us and make impact happen with a career at TikTok.About the Team
AI-Lab conducts research and introduces cutting-edge technologies to our products.
In order to provide the best user experience, we build large-scale systems and support various production strategies including video deduplication, copyright detection, content safety, video search and recommendation.
We are looking for talented individuals to join us for an internship in 2024. Internships at [ByteDance / TikTok] (select one) aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.-
(Note: Please edit the time period accordingly)
- Summer Internship - 06 May 2024 to 26 July weeks)
- Off cycle / Credit bearing - Starting 08 January 2024 or 12 August 2024
Responsibilities:
- Build the Dedup and Copyright system, supports billions of users all over the world;
- Based on the product requirements, develop models and systems to detect duplicated and similar materials among billions of videos;
- Introduce new technologies to our online system and improve the performance;
- Improve the reliability of the system, manage the challenges of scale and complexity;
Qualifications:
- Undergraduate or Postgraduate currently pursuing a Degree/Master/PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Experienced in Machine Learning, familiar with at least one DeepLearning framework, e.g. PyTorch, Tensorflow.
- Experienced in Multimedia or Computer Vision, e.g. Image/Video/Audio retrieval, Representation Learning, Re-Identification, Unsupervised/Selfsupervised learning.
- Authors of published papers in top academia conferences;
- Winners of algorithm and machine learning competitions such as ACM and Kaggle.
To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
We are passionate about this and hope you are too.-
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