Summary
TikTok is the leading destination for short-form mobile video, committed to inspiring creativity and bringing joy. They are seeking a Software Engineer Project Intern to engage in impactful projects focused on content AI infrastructure, enhancing system architectures for content understanding through training and inference.
Responsibilities
- Participate in content AI training and inference architecture design to improve the development efficiency, performance, scalability, and stability of the system
- Build a highly available and low-latency content understanding inference architecture to support online and offline training and inference of TikTok's massive content
- Analyze the performance of training and inference architectures, and optimize the efficiency of large model(LLMs) training and inference on GPU-based systems
- Track cutting-edge technologies and applications within the industry, drive the upgrade of the team's technical architecture, and continuously expand application scenarios for content understanding
- Collaborate with colleagues to serve global users and tackle the challenges brought by globalized architecture
Skills
- Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Familiar with the design of high-concurrency content processing systems, and proficient in distributed frameworks (Flink/Spark) and message queues (Kafka/Pulsar)
- Strong software programming capabilities, exhibits good code design and coding style, familiarity with at least one of the programming languages: C++/Python/Java
- Have a strong interest in large model training, inference, and optimization, with relevant experience preferred
- Interested in the direction of content understanding and has experience in recommender systems and large models(LLMs)
- Relevant experience in competitions (such as mathematical modeling, programming competitions) is a plus
- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment
Qualifications
Must Haves
- Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Familiar with the design of high-concurrency content processing systems, and proficient in distributed frameworks (Flink/Spark) and message queues (Kafka/Pulsar)
- Strong software programming capabilities, exhibits good code design and coding style, familiarity with at least one of the programming languages: C++/Python/Java
- Have a strong interest in large model training, inference, and optimization, with relevant experience preferred
Nice to Haves
- Interested in the direction of content understanding and has experience in recommender systems and large models(LLMs)
- Relevant experience in competitions (such as mathematical modeling, programming competitions) is a plus
- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment
Benefits
- Day one access to health insurance
- Life insurance
- Wellbeing benefits
- 10 paid holidays per year
- Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)
- Housing allowance