Machine Learning Engineer Intern (TikTok-Data-E-Commerce) - 2024 Start (MS/Phd)
San Jose, California, United States
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Team Introduction
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited about applying large scale machine learning to solve various real-world problems in E-commerce.
We are looking for talented individuals to join us for an internship in 2024. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
This Internship Program runs for 10-24 weeks. Candidates can also apply for both Off-cycle Intern position and Program Intern position.
Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
• Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.
• Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
• Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Team Introduction
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited about applying large scale machine learning to solve various real-world problems in E-commerce.
We are looking for talented individuals to join us for an internship in 2024. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
This Internship Program runs for 10-24 weeks. Candidates can also apply for both Off-cycle Intern position and Program Intern position.
Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
• Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.
• Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
• Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
Job stats:
0
0
0
Categories:
Engineering Jobs
Machine Learning Jobs
Tags: Data pipelines E-commerce Engineering Feature engineering Machine Learning PhD Pipelines Streaming
Perks/benefits: Career development
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Principal Data Scientist jobsPrincipal Data Engineer jobsData Scientist II jobsStaff Data Scientist jobsBI Developer jobsData Manager jobsJunior Data Analyst jobsResearch Scientist jobsData Science Manager jobsBusiness Data Analyst jobsLead Data Analyst jobsSenior AI Engineer jobsData Engineer III jobsData Science Intern jobsSr. Data Scientist jobsData Specialist jobsSoftware Engineer II jobsSoftware Engineer, Machine Learning jobsJunior Data Engineer jobsData Analyst II jobsSenior Data Scientist, Performance Marketing jobsBI Analyst jobsData Analyst Intern jobsSr Data Engineer jobsSenior Artificial Intelligence/Machine Learning Engineer - Remote, Latin America jobs
Economics jobsSnowflake jobsLinux jobsHadoop jobsComputer Vision jobsOpen Source jobsJavaScript jobsPhysics jobsRDBMS jobsMLOps jobsBanking jobsAirflow jobsKafka jobsNoSQL jobsData Warehousing jobsScala jobsR&D jobsGoogle Cloud jobsStreaming jobsKPIs jobsData warehouse jobsClassification jobsGitHub jobsOracle jobsCX jobs
SAS jobsPostgreSQL jobsScikit-learn jobsData Mining jobsScrum jobsPandas jobsDistributed Systems jobsTerraform jobsE-commerce jobsPySpark jobsLooker jobsBigQuery jobsRobotics jobsJira jobsIndustrial jobsJenkins jobsUnstructured data jobsRedshift jobsdbt jobsReact jobsMicroservices jobsData strategy jobsMySQL jobsNumPy jobsPharma jobs