Summer ML Engineer Intern - Ads Systems & NLP

TikTok; San Jose (CA); On-site; USD 52,000 - 72,000; Full time

Benefits offered by this job

Health insurance

Wellbeing benefits

Paid holidays

Housing allowance (where eligible)

Job summary

TikTok is seeking a motivated intern for the Lead Ads team to help deliver large-scale ads systems and optimize relevance and ranking models.

You will work on NLP, ML-based advertising algorithms, and CTR/CVR estimation, collaborating with product teams to shape feature strategy. This paid internship offers hands-on experience, social learning events, and health benefits starting day one.

Qualifications

• Pursuing a Bachelor's or higher degree in a technical field (CS/CE or related).
• Strong programming skills in Go, C/C++, Python; Linux familiarity.
• Solid knowledge of statistics and data analysis.
• Good grounding in ML/DL concepts (CNN/RNN/LSTM).
• Familiarity with at least one ML framework (TensorFlow/PyTorch/MXNet).
• Availability for a 12-week full-time internship in Summer 2027.

Responsibilities

• Participate in building a large-scale Ads system for lead ads.
• Improve relevance models and optimization strategies (e.g., semantic matching, active learning, multi-modal ranking).
• Contribute to Ads algorithms using Machine Learning.
• Advance NLP capabilities: query understanding, classification, seq2seq, NER, knowledge graphs, bidword optimization.
• Support CTR/CVR model estimation, data analysis, and feature engineering.
• Research and develop Ads pacing algorithms and traffic control.
• Collaborate with product managers to define product strategy and features.

Skills

Go

C/C++

Python

Linux

Statistics

Machine Learning

TensorFlow

PyTorch

MXNet

Education

Bachelor's degree or higher in CS/CE or related

Tools

TensorFlow

PyTorch

MXNet

Job description

TikTok is seeking a motivated intern for the Lead Ads team to help deliver large-scale ads systems and optimize relevance and ranking models.

You will work on NLP, ML-based advertising algorithms, and CTR/CVR estimation, collaborating with product teams to shape feature strategy. This paid internship offers hands-on experience, social learning events, and health benefits starting day one.