Generative AI Research Scientist - Search & Multimodal
TikTok
San Jose (CA)
On-site
USD 68,191 - 97,120
Full time
14 days+
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Benefits offered by this job
Health insurance
Paid holidays
Housing allowance
Job summary
TikTok is seeking a Campus Intern for its Search team in San Jose, CA, focused on developing AI-driven search systems. The role involves supporting large model integration, improving personalization, and contributing to multimodal search capabilities. Ideal candidates are pursuing a PhD in fields like Computer Science, with a solid understanding of machine learning and proficiency in Python. Intern benefits include health insurance, paid holidays, and potential housing allowance. Apply if you are ready for a challenging position in a fast-paced environment.
Qualifications
Currently pursuing a PhD in a relevant field.
Solid foundation in machine learning or deep learning.
Familiarity with LLMs, NLP, or multimodal learning.
Proficient in Python with ML frameworks experience.
Strong problem-solving skills and willingness to learn.
Responsibilities
Support the development of AI search systems using large models.
Assist in improving ranking and personalization in search.
Contribute to generative and multimodal search models.
Explore LLM-based approaches for complex queries.
Help optimize retrieval and ranking performance.
Collaborate with mentors and cross-functional teams.
Skills
Machine learning
Deep learning
Information retrieval
Python
Problem-solving
Education
PhD in Computer Science, Machine Learning, or related fields
Tools
PyTorch
TensorFlow
Job description
TikTok is seeking a Campus Intern for its Search team in San Jose, CA, focused on developing AI-driven search systems. The role involves supporting large model integration, improving personalization, and contributing to multimodal search capabilities. Ideal candidates are pursuing a PhD in fields like Computer Science, with a solid understanding of machine learning and proficiency in Python. Intern benefits include health insurance, paid holidays, and potential housing allowance. Apply if you are ready for a challenging position in a fast-paced environment.