ML Engineer, E‑Commerce Recommendations & AI (2027)

TikTok; Seattle (WA); On-site; USD 154,000 - 301,000; Full time

Job summary

TikTok is seeking a Machine Learning Engineer Graduate (PhD) for a 2027 start in Seattle. You will design and deploy scalable ML, recommendation, and ranking algorithms powering ecommerce experiences for millions of users.

You will collaborate with product managers and engineers, apply state-of-the-art NLP and multimodal ML, and contribute to merchant automation and growth initiatives.

Qualifications

• PhD degree in Computer Science, Engineering, Operations Research or related field.
• Solid understanding of data structures and algorithms; strong problem-solving.
• Deep knowledge of machine learning, statistics, distributed computing, and big data.
• Internship experience or publications in ML/AI is preferred.

Responsibilities

• Design and build ML, recommendation, and ranking algorithms for large-scale e-commerce systems.
• Develop AI-powered merchant operation systems and AI agents to optimize affiliate strategies and ROI.
• Apply state-of-the-art LLMs, NLP, and multimodal ML to discover new business opportunities.
• Collaborate with product managers, engineers, and cross-functional teams to productionize AI solutions.
• Stay at the forefront of AI advances and prototype new technologies for intelligent commerce.
• Build ML-agents to automate algorithm development workflows and accelerate experimentation.

Skills

Data structures & algorithms

Distributed computing

Machine learning

Education

PhD in CS/Engineering/OR

Job description

TikTok is seeking a Machine Learning Engineer Graduate (PhD) for a 2027 start in Seattle. You will design and deploy scalable ML, recommendation, and ranking algorithms powering ecommerce experiences for millions of users.

You will collaborate with product managers and engineers, apply state-of-the-art NLP and multimodal ML, and contribute to merchant automation and growth initiatives.