PhD ML Engineer Intern - E-Commerce Recommendations

TikTok; Seattle (WA); On-site; USD 66,000 - 91,000; Part time

Benefits offered by this job

Health insurance

Housing allowance

Paid holidays

Paid sick time

Job summary

TikTok is seeking a Machine Learning Engineer Intern (PhD) for the E-Commerce Recommendation/Search Alliance in Seattle. You will work on large-scale recommendation systems and AI-powered merchant tools to help creators and merchants grow their businesses.

Join a fast-moving team that blends research with product delivery, collaborates with cross-functional partners, and exposes you to state-of-the-art ML, NLP, and multimodal techniques in a real-world setting.

Qualifications

• PhD in CS, Engineering, OR or related field.
• Strong grasp of data structures, algorithms, and problem-solving skills.
• Proficiency in machine learning, statistics, and big data engineering.

Responsibilities

• Design and build cutting-edge 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 LLMs, NLP, and multimodal ML to discover new business opportunities and growth.
• Collaborate with product managers and engineers to deploy AI solutions from research to production.
• Stay at the forefront of AI advances and prototype new technologies for intelligent commerce.
• Build ML-agents to accelerate experimentation, iteration, and deployment of models.

Skills

PhD in CS/Engineering/OR

Data structures & algorithms

Machine learning & statistics

Education

PhD in Computer Science or related field

Job description

TikTok is seeking a Machine Learning Engineer Intern (PhD) for the E-Commerce Recommendation/Search Alliance in Seattle. You will work on large-scale recommendation systems and AI-powered merchant tools to help creators and merchants grow their businesses.

Join a fast-moving team that blends research with product delivery, collaborates with cross-functional partners, and exposes you to state-of-the-art ML, NLP, and multimodal techniques in a real-world setting.