With the enormous growth of live streaming in recent years, our mission is to inspire real-time interactions and help live streamers connect to people from all corners of the globe. We are looking for passionate and talented engineers to join us to build and optimize a real-time, high-performance, large-scale distributed infrastructure for live streaming in TikTok. You will be deeply involved in the developmental lifecycle of critical product features and collaborate closely with product managers to deliver the best live streaming experience for all live streamers and audience alike.
Team Introduction The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.
We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).
Responsibilities
- Participate in the optimization of ByteDance LIVE business and serve the LIVE experience of billions of global users.
- Adopt cutting-edge machine learning models to improve business metrics (LIVE revenue and LIVE content quality), and bring creators/operators the ultimate experience in LIVE business.
- Deeply participate in product/business discussions, analyze and understand user behaviour patterns, and provide optimization directions for improvement.
Minimum Qualifications
- Currently pursuing a PhD in computer science or a related engineering discipline.
- Familiar with commonly used machine learning and deep learning algorithms, including but not limited to DNN, NLP, CV, etc.
- Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience
- Excellent problem-solving and critical thinking skills, and solid maths foundation, including probability statistics, numerical optimization, etc.
Preferred Qualification
- Experience in large-scale recommend/advertising systems, risk control systems or LLM is preferred
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.