About the role#
The TikTok Local Services team builds products that connect users to places, local content, and services around the world. As a Machine Learning Scientist intern, you will work on location-based technologies and large-scale data to support our international products. This is a full-time, paid internship for Summer 2027.
What you'll do#
- Build machine learning models and algorithms to solve real-world business problems.
- Develop solutions for POI data production, POI recommendation, sentiment analysis, geocoding, and user profiling.
- Create algorithmic strategies for geographical content and services to improve Location-Based Services (LBS).
- Analyze business needs to design and implement algorithms tailored to specific problem domains.
- Monitor and optimize the performance and efficacy of your models.
What you'll need#
- Currently pursuing a PhD in Computer Science, Computer Engineering, Software Development, or a related field.
- Ability to commit to a 12-week internship during the Summer of 2027.
- Proficiency in Python, Golang, or C++.
- Strong understanding of computer architectures, data structures, and algorithms.
- Experience with machine learning frameworks such as PyTorch, Tensorflow, MxNet, or Caffe.
- Strong communication and collaboration skills.
- Preferred: Experience with big data, real-time data processing, or streaming data flows.
- Preferred: Domain expertise in NLP, text mining, NER, or recommendation systems.
Location & details#
- Location: San Jose, California.
- Modality: On-site.
- Duration: 12 weeks during Summer 2027.
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.
