Machine Learning Engineer Intern; E-Commerce Recommendation/Search Alliance PhD
Listed on 2026-10-11
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Machine Learning Engineer Intern (E-Commerce Recommendation/Search Alliance) - 2026 Start (PhD)
Location:
Seattle
Team:
Technology
Employment Type:
Intern
Job Code: A14677
Responsibilities- Design and implement cutting‑edge machine learning algorithms to enhance our recommendation systems.
- Apply machine learning, natural language processing, and computer vision techniques to analyze e‑commerce data and interactions.
- Deploy and maintain scalable recommendation models for real‑time query handling and product suggestions.
- Analyze complex datasets to derive insights that guide strategic decisions.
- Stay up‑to‑date with the latest machine learning developments, incorporating them into your work.
Minimum Qualifications:
- Currently pursuing a PhD in Computer Science, Engineering, Operations Research, or related fields.
- Strong grasp of data structures, algorithms, and top‑notch problem‑solving skills.
- Profound knowledge in machine learning, statistics, and big data engineering.
Preferred Qualifications:
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Thorough understanding of data structures and algorithms, with excellent problem‑solving ability.
- Deep understanding of machine learning, statistics, scaling distributed computing, and big data engineering.
The hourly rate range for this position in the selected city is $57‑$57.
BenefitsInterns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
EEO and Fair ChanceQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).