Senior ML Engineer: Real-Time NLP & Search at Scale

TikTok Inc.; San Jose (CA); On-site; USD 218,000 - 388,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Short-term and long-term disability

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days of Paid Personal Time

Job summary

TikTok Inc. is seeking engineers to join the Search Team, working on real-time, large-scale systems that power billions of search requests daily.

You will contribute to cutting-edge machine learning projects, leveraging NLP and multimodal models to improve search results and overall user experience. The role emphasizes collaboration, self-direction, and problem-solving while addressing challenges in content understanding, personalization, and video analysis.

Qualifications

• Bachelor's or advanced degree in computer science or a related technical discipline.
• Effective communication and teamwork skills.
• Proficient coding skills and strong algorithm & data structure basis.

Responsibilities

• Improve the search core algorithm and explore directions like content understanding/matching.
• Apply NLP and multimodal techniques to improve search relevance for videos.
• Model user behavior to enhance personalization in search results and understand users better.
• Develop video understanding using NLP, CV, and other methods to improve search authority and usefulness.

Skills

Coding skills

Algorithms & data structures

Communication

Teamwork

Education

Bachelor's or advanced degree in computer science or related field

Job description

TikTok Inc. is seeking engineers to join the Search Team, working on real-time, large-scale systems that power billions of search requests daily.

You will contribute to cutting-edge machine learning projects, leveraging NLP and multimodal models to improve search results and overall user experience. The role emphasizes collaboration, self-direction, and problem-solving while addressing challenges in content understanding, personalization, and video analysis.