Backend Software Engineer, TikTok Live Recommendation Infrastructure

This role is based in San Jose.

Compensation:

$156,000 - $387,600 annually

Responsibilities:

- Design and build backend systems that support large-scale recommendation workloads, including training, inference, and data pipelines.

- Develop robust and efficient model infrastructure, including distributed training pipelines and low-latency inference serving.

- Collaborate closely with ML engineers and researchers to productionize models and integrate them into the TikTok Live recommendation stack.

Qualifications:

• Bachelor's degree or above in Computer Science, Engineering, or related technical field.
• At least 3 years of experience in strong programming skills in C++, Go, or Java, and scripting experience in Python.
• Solid experience in distributed systems and backend service development.

Tech stack:

C++, Go, Java, Python, Spark, Flink, Kafka, Hadoop.