Graduate ML Engineer - Scalable Recommendation Systems

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Parental leave

Disability insurance

Life insurance

Wellbeing benefits

Holidays and paid leave

Job summary

TikTok Inc. is seeking graduates to join our Recommendation Architecture Team in 2026, building and optimizing the architecture for our recommendation products to deliver the best user experience.

You will contribute to high-performance services, scalable data pipelines, and global systems as part of a fast-growing, innovation-driven team. As a graduate, you will have opportunities to pursue bold ideas, kickstart your career, and explore limitless growth with TikTok.

Qualifications

• PhD in Computer Science, ML, AI, or related field (expected by 2026).
• Research background in ML/AI focusing on inference optimization or efficient ML systems.
• Proficient in C, C++, Java or Python.
• Strong problem-solving, self-driven learning, and communication skills.
• Preferred: translating research into practical system implementations.
• Experience in recommendation systems, search, distributed systems, or big data processing.

Responsibilities

• Build and maintain high-performance services for TikTok's recommendation system.
• Create efficient data pipelines for candidate and profile generation.
• Develop globalized, large-scale recommendation systems.
• Design high-performance computing frameworks and storage systems.

Skills

PhD in CS/ML/AI

ML/AI research

Programming: C/C++, Java, Python

Problem solving & communication

Education

PhD in CS/ML/AI

Job description

TikTok Inc. is seeking graduates to join our Recommendation Architecture Team in 2026, building and optimizing the architecture for our recommendation products to deliver the best user experience.

You will contribute to high-performance services, scalable data pipelines, and global systems as part of a fast-growing, innovation-driven team. As a graduate, you will have opportunities to pursue bold ideas, kickstart your career, and explore limitless growth with TikTok.