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Salary
≈ $242k – $495k per year (Estimated)
Location
In office (San Jose)
Seniority
Staff · 5+ years exp
Visa
H-1B filings in 12 months: 547 · for this role: 328 · green card filings: 242
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Apr 18, 2024. TikTok scores B on the Alion truth index.

Overview
Company
Impact
Profile match
TikTok is a short-form video platform owned by the Chinese technology group ByteDance and launched internationally in 2016, growing further after the 2018 merger with the lip-sync app Musical.ly. Its recommendation feed surfaces content by engagement signals rather than social graph, which lets new creators reach large audiences quickly and made the app one of the most downloaded in the world. The company runs dual operating hubs in Singapore and Los Angeles and has built an advertising business, a live streaming economy and the TikTok Shop commerce marketplace on top of the video feed.

岗位职责 / Responsibilities

About the Team

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.

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.

任职要求 / Requirements

Minimum Qualification

- Bachelor degree in computer science or a related major, with 5+ years of related work experience;

- Strong software development experience with C++, Python or other programming language;

- Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;

- Strong communication and teamwork skills;

- Passion about techniques and solving challenging problems.

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