AI-Driven E-commerce Recommender Systems Intern

Ellis Technologies, Inc.; San Jose (CA); On-site; USD 68,191 - 97,120; Part time

Benefits offered by this job

Health insurance

Paid holidays

Paid sick time

Job summary

Ellis Technologies, Inc. is seeking a Research Scientist Intern to join their Global E-commerce team in San Jose. The position is focused on building advanced recommendation systems and includes hands-on learning alongside industry experts.

The candidate will work on projects involving machine learning, AI technologies, and big data frameworks. The internship offers day-one access to health benefits and a competitive hourly rate.

Qualifications

• Currently pursuing a PhD in a technical discipline.
• Strong foundation in machine learning and AI technologies.
• Familiarity with big data frameworks like Hadoop and Spark.

Responsibilities

• Build industry-leading recommendation systems.
• Explore generative recommendation techniques.
• Deliver end-to-end machine learning solutions.
• Optimize algorithms for recommendation performance.

Skills

Machine Learning

AI Technologies

Big Data Frameworks

TensorFlow

PyTorch

Computer Vision

Natural Language Processing

Education

PhD in Computer Science or related discipline

Tools

Hadoop

MapReduce

Spark

Job description

Ellis Technologies, Inc. is seeking a Research Scientist Intern to join their Global E-commerce team in San Jose. The position is focused on building advanced recommendation systems and includes hands-on learning alongside industry experts.

The candidate will work on projects involving machine learning, AI technologies, and big data frameworks. The internship offers day-one access to health benefits and a competitive hourly rate.