Data Governance & AI Safety Platform Engineer

TikTok USDS Joint Venture

Seattle (WA)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Savings Plan With Company Match
Paid Parental Leave
Short-term Disability Coverage
Long-term Disability Coverage
Life Insurance
Wellbeing Benefits
Paid Holidays
Paid Sick Days
Paid Personal Time

Job summary

TikTok USDS Joint Venture is seeking a backend engineer to design and scale core platforms for AI safety checks and automated data lifecycle management at a petabyte scale.

You will architect low-latency interception systems and distributed workflows to ensure data privacy and compliance within the recommendation path. A CS degree with 2+ years in Go/Java/C++ is expected, with strong big data and privacy experience.

Qualifications

  • Requires a Bachelor's or Master's degree in Computer Science with 2+ years of experience in Go, Java, or C++.
  • Expertise in big data infrastructure and database internals; privacy domain knowledge preferred.

Responsibilities

  • Design and scale core platforms for AI safety checks and automated data lifecycle management at petabyte scale.
  • Architect low-latency interception systems and distributed workflows to ensure data privacy and compliance within the recommendation path.

Skills

Go
Java
C++
Hive
Spark
Kafka
Flink
Kubernetes
SQL
NoSQL
Privacy Engineering
Data Governance
Data Lineage
Distributed Systems
AI Safety
Backend Engineering

Education

Bachelor's or Master's degree in Computer Science

Tools

Hive
Spark
Kafka
Flink
Kubernetes
SQL
NoSQL

Job description

TikTok USDS Joint Venture is seeking a backend engineer to design and scale core platforms for AI safety checks and automated data lifecycle management at a petabyte scale.

You will architect low-latency interception systems and distributed workflows to ensure data privacy and compliance within the recommendation path. A CS degree with 2+ years in Go/Java/C++ is expected, with strong big data and privacy experience.

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