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(General Hire) Machine Learning Scientist Graduate (TikTok Recommendation) - 2027 Start (PhD)

TikTok

San Jose, California, United States of AmericaFull TimeNew GradH-1B sponsor company
Sign in to applyVerified 1h ago
Location
San Jose, California, United States of America
Employment
Full Time
Work model
On-Site
Level
New Grad
H-1B history
148 approvals (FY2023)

Skills

Machine Learning

About this role

Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.

This opening is part of the general hiring process for the TikTok Recommendation organization. Applications will be evaluated by multiple teams within the Recommendation organization to ensure the match based on skills and interests.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Responsibilities - Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; - Deliver end-to-end machine learning solution to address critical product challenges; - Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance; - Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.

(General Hire) Machine Learning Scientist Graduate (TikTok Recommendation) - 2027 Start (PhD) at TikTok, San Jose, California, United States of America | Yoinka