Real-Time ML Engineer – Search & Visual Understanding

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

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company match

Paid parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

TikTok Inc. is seeking a data-driven engineer on the Search Team to develop cutting-edge ML tech for real-time, large-scale search. You will work on NLP, CV, and multi-modal models to improve search relevance for billions of daily requests and enhance user experience globally.

The role emphasizes collaboration, problem-solving, and applying advanced techniques to optimize content matching and personalization on a massive platform.

Qualifications

• Bachelor 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

• Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching with NLP and CV tech to match relevant videos to queries and improve relevance.
• User Behavior Modeling to enhance personalization on the basis of relevance and understand users better.
• Video understanding using NLP, CV and other tech for better understanding and improved search results.

Skills

Strong coding skills

Algorithm & data structures

Communication & teamwork

Education

Bachelor or advanced degree in computer science or related

Job description

TikTok Inc. is seeking a data-driven engineer on the Search Team to develop cutting-edge ML tech for real-time, large-scale search. You will work on NLP, CV, and multi-modal models to improve search relevance for billions of daily requests and enhance user experience globally.

The role emphasizes collaboration, problem-solving, and applying advanced techniques to optimize content matching and personalization on a massive platform.