AI-Driven E-commerce Recommender Systems Intern

Ellis Technologies, Inc.; San Jose (CA); Sur place; USD 68 191 - 97 120; Temps partiel

Avantages offerts par ce poste

Health insurance

Paid holidays

Paid sick time

Résumé du poste

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.

Responsabilités

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

Connaissances

Machine Learning

AI Technologies

Big Data Frameworks

TensorFlow

PyTorch

Computer Vision

Natural Language Processing

Formation

PhD in Computer Science or related discipline

Outils

Hadoop

MapReduce

Spark

Description du poste

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.