Senior ML Engineer — Hyperscale E-commerce Search & Recs

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

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Job summary

TikTok Inc. is seeking an experienced Machine Learning professional to strengthen our search recommendation engine for TikTok E-commerce and TikTok Mall. You will work on hyperscale ML models, NLP interactions, and cutting-edge recommendation technology to improve user search and purchase cognition.

The role involves mentoring teammates and advancing end-to-end ranking systems to deliver the best shopping experience for over a billion users worldwide.

Qualifications

• 5+ years of work experience in machine learning.
• Experience in modern Recommendation, Search, Advertising, E-commerce.
• Bachelor or advanced degree in computer science or related technical discipline.
• Excellent coding skills; solid knowledge of data structures and algorithms.
• Strong analytical, modeling, and problem-solving abilities.

Responsibilities

• Elevate search recommendation services and models for TikTok E-commerce, driving higher search traffic.
• Optimize the recommender system from recall to final-stage ranking within the end-to-end workflow.
• Advance short text and general recommendation tech, focusing on NLP interactions with recommendations.
• Provide guidance and mentorship to fellow teammates.

Skills

Machine learning

Product sense

User experience

E-commerce knowledge

Recommendation systems

Search

Education

Bachelor's degree in CS or related

Job description

TikTok Inc. is seeking an experienced Machine Learning professional to strengthen our search recommendation engine for TikTok E-commerce and TikTok Mall. You will work on hyperscale ML models, NLP interactions, and cutting-edge recommendation technology to improve user search and purchase cognition.

The role involves mentoring teammates and advancing end-to-end ranking systems to deliver the best shopping experience for over a billion users worldwide.