Machine Learning Engineer Intern (E-Commerce)
TikTok USDS Joint Venture
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree or Master's degree
- Must know
- Machine learningSocial mediaStakeholder managementPythonJavaJavaScript
- Nice to have
- System designETL
- Work
- On-site in Seattle · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python76%Machine learning66%Stakeholder management25%Social media1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 1, 2026 · still open
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About the Role
TikTok E-commerce is seeking talented individuals for a Machine Learning Engineer Intern position during Summer 2027. This internship offers hands-on experience, industry exposure, and opportunities to apply knowledge to real-world challenges.
Key Responsibilities
- Work with large-scale data, logs, metrics, or experiments to understand user search behavior and improve product or system quality.
- Collaborate with engineering, product, data science, and machine learning partners to define requirements and deliver project milestones.
- Write clear, maintainable code and documentation for assigned workstreams.
- Communicate progress, risks, and learnings with mentors and stakeholders throughout the internship.
Requirements & Tech Stack
- Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
- Able to commit to a 12-week internship during Summer 2027.
- Familiarity with at least one programming language, such as JavaScript/TypeScript, Python, Java, Go, or similar.
- Strong problem-solving skills, attention to detail, and willingness to learn from feedback.
- Interest in developer platforms, full-stack engineering, or AI-assisted development tools.
Preferred Qualifications
- Currently pursuing a Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
- Familiarity with databases, distributed systems, data pipelines, experimentation, or large-scale backend services.
- Experience using data to investigate product, user, or system problems.
- Ability to communicate technical ideas clearly and collaborate with cross-functional partners.
- Interest in improving search experiences for large-scale consumer products.