Contribute to the systems powering ads delivery and user experience in the U.S. while gaining valuable industry exposure. π― About the Role This internship provides students withβ¦
PhD Intern, E-commerce
- Location
- San Jose, California, United States
- Posted
- Status
- Open
About this role
Gain hands-on experience in product and research while contributing to the future of e-commerce at a leading tech company.
π― About the Role
This PhD internship offers students the opportunity to actively contribute to product development and research, influencing the organization's future plans and emerging technologies. The experience blends practical learning with professional development and collaboration with industry experts.
π οΈ Key Responsibilities
- π Work with large-scale data to understand user search behavior and improve product quality.
- π€ Collaborate with engineering, product, and data science teams on project milestones.
- βοΈ Write clear, maintainable code and documentation.
- π£οΈ Communicate progress, risks, and learnings to mentors and stakeholders.
β Requirements & Skills
- π Currently pursuing a PhD in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
- ποΈ Able to commit to a 12-week internship during Summer 2027.
- π» Proficient coding skills and a strong algorithm & data structure foundation.
- π£οΈ Effective communication and teamwork skills.
- π‘ Familiarity with machine learning frameworks (e.g., scikit-learn, tensorflow, pytorch) is preferred.
π Perks & Benefits
- π₯ Day one access to health insurance, life insurance, and wellbeing benefits.
- π 10 paid holidays per year and paid sick time.
- π Potential eligibility for housing allowance for non-remote interns.
π° Compensation: $57 - $57/hr
β³ Duration: 12 weeks
π Location: United States
π© How to Apply
Applications are reviewed on a rolling basis. Please clearly state your availability (Start date, End date) in your resume.
How to apply
Applications are handled on linkedin.com, not here. The link below opens the original posting.
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