Ads ML Infra Intern: Build Scalable Ranking Systems

TikTok; San Jose (CA); On-site; USD 68,191 - 97,120; Full time

Benefits offered by this job

Health insurance

Life insurance

Paid holidays (10 per year)

Paid sick time

Housing allowance (if not remote)

Job summary

A leading social media platform is seeking interns for its Ads machine learning data platform team in San Jose, California. As an intern, you'll lead projects focusing on building scalable Ads ranking infrastructure systems and provide technical leadership. Applicants should have a Bachelor's in Computer Science and strong problem-solving skills. This internship offers hands-on experience in an innovative environment, along with competitive hourly compensation of $60 and various benefits.

Qualifications

• Strong coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning.
• Experience in managing projects.

Responsibilities

• Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
• Provide technical leadership and guidance to team members.
• Communicate cross‑functionally across various teams.
• Lead innovation efforts and bring in new ideas and technologies.

Skills

Strong Computer Science fundamentals

Problem-solving skills

Solid coding skills

Experience in managing projects

Education

Bachelor's degree in computer science or related technical disciplines

Job description

A leading social media platform is seeking interns for its Ads machine learning data platform team in San Jose, California. As an intern, you'll lead projects focusing on building scalable Ads ranking infrastructure systems and provide technical leadership. Applicants should have a Bachelor's in Computer Science and strong problem-solving skills. This internship offers hands-on experience in an innovative environment, along with competitive hourly compensation of $60 and various benefits.