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机器学习工程师实习生 - 2027 夏季季节性

雇主

TikTok

地点

California · San Jose · 美国

待遇

$面议

工作模式

线下

截止日期

1月8日

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岗位摘要

Machine Learning Engineer Intern role focusing on large-scale Ads system development, relevance mode

岗位职责

The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system.
At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems.
You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery.
We are looking for talented individuals to join us for an internship.
Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally.
Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early.
Please clearly state your availability in your resume, including your start and end dates.
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 (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), 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

申请条件

Candidates should be currently enrolled students with a background in computer science, machine learning, or a related field.
Strong understanding of machine learning concepts and algorithms is required.
Experience with NLP, ranking models, or information retrieval is preferred.

雇主简介

TikTok is a leading short-form video platform that develops core training and serving infrastructure for large-scale recommendation systems and AI infrastructure for foundation models and LLMs.

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数据来源:TikTok

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