ML Engineer Intern — E‑Commerce Recommendations & Search

TikTok; Seattle (WA); On-site; USD 58,000 - 62,000; Full time

Benefits offered by this job

Health insurance

Day one health benefits

Housing allowance

Job summary

TikTok is seeking a campus intern to join the E‑commerce Alliance team, focused on building AI-powered affiliate tools and personalized recommendations for merchants and creators. You will work on cutting‑edge machine learning, ranking algorithms, and end‑to‑end experimentation in a fast‑moving, global platform.

You will collaborate with cross‑functional teams, gain hands‑on experience with production‑grade ML systems, and participate in development workshops during the internship.

Qualifications

• Currently pursuing an undergraduate degree in software development, computer science, or computer engineering.
• Strong grasp of data structures, algorithms, and problem solving.
• Proficiency in machine learning, statistics, and big data concepts.

Responsibilities

• Design and build ML, recommendation, and ranking algorithms for large‑scale e‑commerce.
• Develop AI‑powered merchant operation systems and AI agents to optimize affiliate strategies.
• Apply LLMs, NLP, and multimodal ML to drive growth for merchants and creators.
• Collaborate with product managers and engineers to deploy research into production.
• Prototype and productionize new AI technologies to shape intelligent commerce.
• Build ML‑agents to accelerate experimentation and deployment workflows.

Skills

Data structures

Algorithms

Problem solving

ML knowledge

Statistics

Education

Undergraduate in CS/SE

Job description

TikTok is seeking a campus intern to join the E‑commerce Alliance team, focused on building AI-powered affiliate tools and personalized recommendations for merchants and creators. You will work on cutting‑edge machine learning, ranking algorithms, and end‑to‑end experimentation in a fast‑moving, global platform.

You will collaborate with cross‑functional teams, gain hands‑on experience with production‑grade ML systems, and participate in development workshops during the internship.