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Machine Learning Scientist Intern (TikTok-Local Services) - 2027 Start (PhD)

San Jose, United States of America💼 Internship🗓 2026-09-28

Core

Develop ML models and algorithms for location-based services (LBS) to connect people with places, localized content, and real-world services globally.

Role type

PhD intern machine learning scientist (LBS)

Builds

POI data production, POI recommendation, reviews sentiment analysis and ranking, geocoding, user profiling

Domain

Location-based services (LBS), geolocation, real-world services

Deliverable

production ML models

Required skills

Python, Golang, C++, computer architectures, data structures, algorithms, machine learning frameworks (Tensorflow, Caffe, MxNet, Pytorch)

Preferred skills

POI data algorithms, NLP, recommendation systems, sentiment analysis, NER, text mining, geocoding, user profiling, big data, data warehouse, streaming data processing

Responsibilities

Work on ML models and algorithms to drive technical solutions for LBS; devise algorithmic strategies for geographical content and services; analyze business issues and optimize algorithm performance

Seniority

Intern, PhD level

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