PhD Internship: Advanced E‑commerce Recommendation Systems

TikTok; San Jose (CA); Hybrid; USD 68,191 - 97,120; Full time

Benefits offered by this job

Health insurance

Paid holidays

Paid sick time

Housing allowance

Job summary

TikTok is seeking an intern for their Global E-commerce team in San Jose, California. The internship focuses on developing machine learning models and recommendation systems to enhance user experience and e-commerce efficiency. Candidates should be pursuing a PhD in a related field and have experience with TensorFlow, PyTorch, and big data frameworks. The position offers an hourly rate of $60, along with benefits such as health insurance, paid holidays, and potential housing allowance. Join TikTok to contribute to innovative solutions in a dynamic team environment.

Qualifications

• Currently pursuing a PhD in a relevant field.
• Strong foundation in machine learning and knowledge of cutting-edge AI technologies.
• Experience with TensorFlow or PyTorch for model training.

Responsibilities

• Build industry-leading recommendation systems and improve user experience.
• Explore generative recommendation techniques.
• Deliver end-to-end machine learning solutions.

Skills

Machine Learning

TensorFlow

PyTorch

Big Data Frameworks

Natural Language Processing

Computer Vision

Education

PhD in Computer Science or related field

Tools

Hadoop

MapReduce

Spark

Job description

TikTok is seeking an intern for their Global E-commerce team in San Jose, California. The internship focuses on developing machine learning models and recommendation systems to enhance user experience and e-commerce efficiency. Candidates should be pursuing a PhD in a related field and have experience with TensorFlow, PyTorch, and big data frameworks. The position offers an hourly rate of $60, along with benefits such as health insurance, paid holidays, and potential housing allowance. Join TikTok to contribute to innovative solutions in a dynamic team environment.