6 дней назад
Machine Learning Engineer Intern (E-Commerce) - 2027 Summer
45$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer Intern (E-Commerce) - 2027 Summer (Machine Learning/E-Commerce): Analyzing large-scale data, logs, metrics, and experiments to improve search behavior and product quality with an accent on data-driven problem solving and maintainable engineering. Focus on investigating user and system problems, collaborating with engineering and product partners, and building experience with data pipelines, distributed systems, and large-scale backend services.
Location: San Jose, United States; fully in-person attendance up to 5 days a week
Salary: $45 per hour
Company
operates TikTok-related applications with a focus on U.S. user data security, privacy, cybersecurity, trust, and safety.
What you will do
- Analyze large-scale data, logs, metrics, and 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.
Requirements
- Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
- Availability for a 12-week Summer 2027 internship.
- Familiarity with at least one programming language, such as JavaScript, TypeScript, Python, Java, Go, or a similar language.
- 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.
Nice to have
- Currently pursuing a Master's degree in 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.
- Clear communication of technical ideas and experience collaborating with cross-functional partners.
- Interest in improving search experiences for large-scale consumer products.
Culture & Benefits
- Hands-on experience and exposure to real-world engineering challenges.
- Social events, learning programs, and development workshops.
- Health insurance, life insurance, and wellbeing benefits from the first day.
- Ten paid holidays and paid sick time.
- Housing allowance may be available for interns who are not working 100% remotely.
- Inclusive workplace focused on creativity, curiosity, collaboration, and continuous learning.
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