Content AI Infra Intern: Build Scalable Inference Systems

TikTok; San Jose (CA); On-site; USD 51,143 - 72,840; Full time

Benefits offered by this job

Health insurance

10 paid holidays

Paid sick time

Housing allowance for onsite interns

Job summary

A leading social media platform is seeking a project intern to join their Content AI Infra Team in San Jose, California. This role involves participating in the design and optimization of content understanding systems, contributing to impactful projects in a fast-paced environment. Candidates should be pursuing a degree in a relevant field and have strong programming skills in languages such as C++, Python, or Java. Hourly compensation is $45, with benefits including health insurance and paid time off.

Qualifications

• Currently pursuing an Undergraduate/Master in a relevant technical discipline.
• Familiar with high-concurrency content processing systems.
• Strong software programming capabilities and good code design.

Responsibilities

• Participate in content AI training and inference architecture design.
• Build low-latency content understanding inference architecture.
• Analyze and optimize performance of large model (LLMs) training.

Skills

C++

Python

Java

Distributed frameworks (Flink/Spark)

Message queues (Kafka/Pulsar)

Education

Undergraduate/Master in Software Development, Computer Science, or Computer Engineering

Job description

A leading social media platform is seeking a project intern to join their Content AI Infra Team in San Jose, California. This role involves participating in the design and optimization of content understanding systems, contributing to impactful projects in a fast-paced environment. Candidates should be pursuing a degree in a relevant field and have strong programming skills in languages such as C++, Python, or Java. Hourly compensation is $45, with benefits including health insurance and paid time off.