ML Engineer, Search & Recs (NLP/Multimodal)

TikTok Inc.; San Jose (CA); On-site; USD 128,000 - 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 time off

Job summary

TikTok Inc. is seeking a skilled machine learning engineer to advance its search recommendation system for TikTok and TikTok Mall. You will work on hyperscale ML models spanning recall to ranking, improving user search experience and traffic.

The role emphasizes short text and multi-modal recommendations, with strong emphasis on NLP and practical product impact. Ideal candidates have 3+ years in ML, solid CS fundamentals, and strong coding ability.

Qualifications

• 3+ years of work experience in machine learning.
• Bachelor or advanced degree in computer science or a related technical discipline.
• Excellent coding skills.
• Solid knowledge of data structure and algorithms.
• Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Responsibilities

• Enhance search recommendation services and models for TikTok, driving increased search traffic on TikTok and TikTok Mall, while also improving user's search understanding.
• Optimize the recommender system based on hyperscale machine learning models, covering recall/first-stage ranking to final-stage ranking in the end-to-end workflow.
• Explore the upper limits of short text recommendation and general recommendation technology, focusing on interaction between recommendation and NLP.

Skills

Machine learning

Product sense

Coding skills

Data structures & algorithms

Analytical thinking

Education

Bachelor's or advanced degree in computer science

Job description

TikTok Inc. is seeking a skilled machine learning engineer to advance its search recommendation system for TikTok and TikTok Mall. You will work on hyperscale ML models spanning recall to ranking, improving user search experience and traffic.

The role emphasizes short text and multi-modal recommendations, with strong emphasis on NLP and practical product impact. Ideal candidates have 3+ years in ML, solid CS fundamentals, and strong coding ability.