ML Engineer Intern: Generative Recs & Live Commerce

Centro Escolar University; Seattle (WA); On-site; USD 34,000 - 55,000; Part time

Job summary

Centro Escolar University is seeking an undergraduate student in software development or computer science to join our live commerce recommendation team. You will build and optimize models spanning recall to ranking, and explore cross-domain and multimodal signals across videos, live streams, and products.

The role emphasizes scalable experimentation and translating research into tangible business impact. The ideal candidate has strong Python/C++ programming skills, experience with PyTorch, and a

Qualifications

• Pursuing an undergraduate degree in a software-related field.
• Solid grounding in machine learning concepts and methods.
• Strong programming skills in Python or C++ and hands-on DL experience.
• Familiarity with data structures, algorithms, and large-scale ML systems.
• Good problem-solving, analytical mindset, and ownership of model iterations.

Responsibilities

• Build and optimize recommendation models across recall, pre-ranking, ranking, and mixed ranking to improve GMV, conversion, watch time, and long-term user value.
• Develop cross-domain and multimodal modeling connecting videos, live streams, products, and user behavior for live commerce recommendations.
• Advance next-generation recommender tech including generative models, large recommendation models, RL, and long-term value optimization.
• Collaborate with cross-functional teams to launch scalable solutions, run experiments, and translate research into measurable business impact.

Skills

Python

C++

PyTorch

Machine Learning

Education

Undergraduate student in Software Development/CS

Job description

Centro Escolar University is seeking an undergraduate student in software development or computer science to join our live commerce recommendation team. You will build and optimize models spanning recall to ranking, and explore cross-domain and multimodal signals across videos, live streams, and products.

The role emphasizes scalable experimentation and translating research into tangible business impact. The ideal candidate has strong Python/C++ programming skills, experience with PyTorch, and a