About the role#
The Signal & Measurement team at TikTok Ads manages the full stack of advertising effectiveness. We handle everything from signal collection and identity resolution to attribution modeling and causal measurement. Our work sits at the intersection of large-scale machine learning and causal inference, applied to determine the business value of ad spend. You will work with a mentor, own real projects, and contribute to production systems that impact advertisers globally.
What you'll do#
- Build and improve machine learning models for signal quality, including anomaly detection, signal recovery, denoising, and correction.
- Improve the precision and coverage of our Identity Graph using probabilistic matching models and graph algorithms.
- Participate in the design and implementation of attribution models, such as multi-touch attribution, modeled conversions, and incrementality measurement.
- Drive the application of signal, identity, and attribution data in ranking models to improve conversion prediction and bidding quality.
- Develop large-scale experimentation infrastructure and data pipelines for products like Conversion Lift, Brand Lift, and Split Test.
- Explore LLM-powered signal intelligence by applying large language models to the semantic understanding of advertiser conversion data.
- Collaborate with Product, Data Science, and Infrastructure teams to turn algorithmic ideas into production systems.
What you'll need#
- Currently pursuing a Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related field.
- A solid foundation in machine learning and statistics, including hypothesis testing, regression, and probabilistic models.
- Strong programming skills in Python, Go, Java, or C/C++, with a grasp of data structures and algorithms.
- Hands-on machine learning experience from coursework, research, internships, or personal projects.
- Experience or interest in computational advertising, search ranking, causal inference, graph learning, or applied NLP.
- Familiarity with large-scale data processing frameworks like Spark or Flink, or ML frameworks such as PyTorch or TensorFlow.
- Publications at ML venues or success in algorithm competitions like Kaggle or ACM-ICPC is a plus.
Location & details#
- Location: San Jose, California
- Term: Summer 2027
- Employment: Full-time internship
- Compensation: $45 per hour
About TikTok
TikTok operates as an entertainment provider. The company maintains a global presence with offices in cities including Los Angeles, Singapore, New York, London, and Tokyo. It employs over 92,000 people. The organization is privately held.
How to get in at TikTok
Landing an internship at TikTok requires speed because early applicants often get seen before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can apply among the first. This gives you a better chance of your resume being reviewed while the team is still actively filling the position. You should aim to be one of the first people to submit your materials. Reaching out to the right person can also improve your chances of getting a response. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the role or a referral. This direct approach often works better than waiting for a response from a general application queue.
