TikTok
Software Engineer - Ads Identity and Attribution
Join TikTok as a
Software Engineer
in the
Ads Identity and Attribution
team, based in
Seattle, WA . This is a
full-time
position offering a salary range of
$137,750 – $237,500
annually, along with comprehensive benefits including RSUs, 401(k) match, health insurance, paid parental leave, and PTO. Job Description
The
Ads Identity and Attribution
team focuses on solving signal loss in online advertising by developing scalable infrastructure and machine learning-powered attribution systems. Your role involves building and optimizing systems for identity matching and attribution, crucial in the evolving privacy landscape. Develop large-scale ad signal ingestion, identity matching, and attribution systems Build reliable, scalable infrastructure for ad measurement and optimization Collaborate with cross-functional teams on advertising solutions Innovate in signal utilization and machine learning applications in attribution Minimum Qualifications
BS/MS in Computer Science or related field Proficiency in Go, C++, Python, or SQL Strong understanding of data structures, algorithms, and system design Experience with data-intensive systems in advertising, search, or recommendation Analytical, project management, and problem-solving skills Experience leading complex technical projects Background in ML infrastructure for advertising Familiarity with high-scale distributed systems Inclusivity & Accommodations
TikTok offers reasonable accommodations for individuals with disabilities, religious beliefs, or other needs during recruitment.
Request Accommodation Apply Now
The role is actively reviewing applications.
#J-18808-Ljbffr
Join TikTok as a
Software Engineer
in the
Ads Identity and Attribution
team, based in
Seattle, WA . This is a
full-time
position offering a salary range of
$137,750 – $237,500
annually, along with comprehensive benefits including RSUs, 401(k) match, health insurance, paid parental leave, and PTO. Job Description
The
Ads Identity and Attribution
team focuses on solving signal loss in online advertising by developing scalable infrastructure and machine learning-powered attribution systems. Your role involves building and optimizing systems for identity matching and attribution, crucial in the evolving privacy landscape. Develop large-scale ad signal ingestion, identity matching, and attribution systems Build reliable, scalable infrastructure for ad measurement and optimization Collaborate with cross-functional teams on advertising solutions Innovate in signal utilization and machine learning applications in attribution Minimum Qualifications
BS/MS in Computer Science or related field Proficiency in Go, C++, Python, or SQL Strong understanding of data structures, algorithms, and system design Experience with data-intensive systems in advertising, search, or recommendation Analytical, project management, and problem-solving skills Experience leading complex technical projects Background in ML infrastructure for advertising Familiarity with high-scale distributed systems Inclusivity & Accommodations
TikTok offers reasonable accommodations for individuals with disabilities, religious beliefs, or other needs during recruitment.
Request Accommodation Apply Now
The role is actively reviewing applications.
#J-18808-Ljbffr