Graduate Backend Engineer - AI Safety & Data Platforms

TikTok

San Jose (CA)

On-site

USD 128,000 - 317,000

Full time

14 days+
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401(k) with company match
Parental Leave
Disability Insurance
Life Insurance
Wellbeing benefits
Paid Holidays
Paid Sick Days
Paid Personal Time

Job summary

TikTok is seeking a Backend Software Engineer Graduate for Emerging Products & AI Safety, starting in 2027, based in San Jose. You will join the Trust and Safety engineering team to protect users, build data platforms, and drive moderation tooling.

Ideal candidates have a CS degree and hands-on coding in C++, Python or Java, with exposure to big data tech and distributed systems. The role offers a robust compensation package and a path to growth within a global tech leader.

Qualifications

  • Recently completed or about to complete a Bachelor's/Master's degree in CS or a related field.
  • Experience with C++, Python or Java in software development.
  • Proficient in server-side tech in distributed/high concurrency environments.
  • Experience with big data tools (Spark, Flink, ClickHouse, HBase) is a plus.
  • Strong communication and teamwork skills; data insight experience preferred.

Responsibilities

  • Contribute to data application architecture for the Trust and Safety stack.
  • Improve stability and efficiency of data systems while reducing storage/cost complexity.
  • Design data integration, offline/real-time development, governance and BI analytics.
  • Mentor peers, influence RD culture, and strengthen cross-team capabilities.

Skills

C++
Python
Java
Teamwork
Communication

Education

Bachelor's/Master's in Computer Science or related

Tools

Spark
Flink
ClickHouse
HBase

Job description

TikTok is seeking a Backend Software Engineer Graduate for Emerging Products & AI Safety, starting in 2027, based in San Jose. You will join the Trust and Safety engineering team to protect users, build data platforms, and drive moderation tooling.

Ideal candidates have a CS degree and hands-on coding in C++, Python or Java, with exposure to big data tech and distributed systems. The role offers a robust compensation package and a path to growth within a global tech leader.

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