TikTok
Machine Learning Engineer Graduate (Lead Ads) - 2027 Start
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- Completing or recently completed a Bachelor's degree or above in Computer Science, Computer Engineering, or a related technical discipline.
About the job
Develop machine-learning algorithms and large-scale advertising systems to improve lead-ad relevance, ranking, delivery, and performance on TikTok.
What you'll do
- Develop and iterate large-scale ad systems, ad algorithms, and machine-learning models.
- Optimize relevance, query understanding, CTR/CVR estimation, ranking, and ad pacing or traffic control.
- Analyze data, engineer features, and collaborate with product teams on strategy and features.
What they ask for
- Completing or recently completed a Bachelor's degree or above in Computer Science, Computer Engineering, or a related technical discipline.
- Programming skills in languages including Go, C/C++, or Python; familiarity with data structures, algorithms, and Linux.
- Knowledge of statistics and theoretical machine-learning and deep-learning concepts, including CNN/RNN/LSTM.
- Familiarity with the architecture and implementation of at least one of TensorFlow, PyTorch, or MXNet.
Nice to have
- Experience or familiarity with ads systems, recommendation, search, or ranking.
Tools
Go, C/C++, Python, Linux, TensorFlow, PyTorch, MXNet, CNN/RNN/LSTM
AI focus
Apply machine learning and deep learning to ad relevance, query understanding, ranking, CTR/CVR estimation, and ad delivery optimization.
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