ML Engineer, Search Ads – Large-Scale Monetization

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

Job summary

TikTok Inc. is seeking a highly capable engineer to join the Search Ads team in San Jose, CA. You will tackle large-scale distributed storage, NLP, ranking, and IR problems, shaping ad formats, creative display, and ROI of ads delivery.

You will work with a world-class team to take our Search Ads product from 0 to 1. Responsibilities cover building a scalable ads system, optimizing relevance models, applying ML to ads algorithms, improving NLP capabilities, and partnering with product

Qualifications

• BS degree in Computer Science, Computer Engineering or other relevant majors.
• Excellent programming, debugging, and optimization skills in general purpose programming languages
• Ability to think critically and to formulate solutions to problems in a clear and concise way.

Responsibilities

• Participate in the development of a large-scale Ads system
• Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc
• Participate in the development and iteration of Ads algorithms by using Machine Learning.
• Work on NLP capability improvement and query understanding, such as query classification, seq2seq, NER, knowledge graph, bidword optimization, etc
• Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering
• Research and develop Ads pacing algorithms, ads traffic control, etc
• Partner with product managers and product strategy & operation team to define product strategy and features

Skills

Programming languages

Critical thinking

Go

C/C++

Python

Machine learning basics

Backend systems

Large-scale systems

Ads tech knowledge

Education

Bachelor's degree in CS/CE or related field

Job description

TikTok Inc. is seeking a highly capable engineer to join the Search Ads team in San Jose, CA. You will tackle large-scale distributed storage, NLP, ranking, and IR problems, shaping ad formats, creative display, and ROI of ads delivery.

You will work with a world-class team to take our Search Ads product from 0 to 1. Responsibilities cover building a scalable ads system, optimizing relevance models, applying ML to ads algorithms, improving NLP capabilities, and partnering with product