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Software Engineer Graduate (Ads ML Infrastructure) - 2026 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A129705 Apply to this job Share this listing: Responsibilities About the team The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building

Software Engineer Graduate (Capital Platform) - 2026 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A224695 Apply to this job Share this listing: Responsibilities Our team is responsible for providing a suite of capabilities to support TikTok's advertising operations, including advertising billing, fund account management, fund marketing, fund settlement, and budget control. These capabilities aim to ensure the accuracy and security of advertisers' funds, enhance the efficiency of fund utilization for advertisers, and meet financi

Machine Learning Engineer Graduate (Search Ads Technology) - 2026 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A124571 Apply to this job Share this listing: Responsibilities "The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will b

Software Engineer Graduate- Algorithm Engineering, TikTok - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A235233 Apply to this job Share this listing: Responsibilities The Trust and Safety(TnS) engineering team is responsible for protecting our users from harmful content and abusive behaviors. With the continuous efforts of our trust and safety engineering team, TikTok can provide the best user experience and bring joy to everyone in the world. Our team is responsible for achieving goals by building content moderation process systems,

Data Scientist, Product Analytics - USDS

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A32360 Apply to this job Share this listing: Responsibilities About the team The Data Science team of the Tech and Product department at TikTok USDS is responsible for building high-quality and timely data solutions for the business as the single source of truth and for building easy-to-use and scalable data products to support business growth. You will have the exciting opportunity to: - Conduct product analytics to provide product

Machine Learning Engineer Graduate (App Ads and Gaming) - 2026 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A20684 Apply to this job Share this listing: Responsibilities The App Ads and Gaming team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering application ads on TikTok. Our mission is to push the boundaries of large-scale ad delivery systems and lead the innovations of TikTok's personalized online advertising. We are looking for talented individuals to join our team in 2026. As a graduate, you

Machine Learning Scientist Graduate (TikTok Recommendation-E-commerce) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A26824 Apply to this job Share this listing: Responsibilities TikTok E-commerce is committed to building a global commerce ecosystem where content and commerce are deeply integrated, delivering a next-generation shopping experience to users. Our Recommendation team plays a critical role in enabling personalized and engaging user journeys by leveraging cutting-edge machine learning technologies. In today's content-driven commerce lan

Machine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A151214 Apply to this job Share this listing: Responsibilities Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users. We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opport

Machine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Intern Job Code : A203629A Apply to this job Share this listing: Responsibilities Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users. We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth oppor

Recommendation Platform Backend Engineer(ByteRec Recommendation Infrastructure Graduate -TikTok) - 2025 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A12855 Apply to this job Share this listing: Responsibilities The recommendation architecture mid-platform team is responsible for the design and development of the recommendation system platform for TikTok and related products, and the team maintains the platform and develops midwares for the system, keeps it consistent. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled oppor

Machine Learning Engineer Graduate (Search E-Commerce- San Jose) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A186784A Apply to this job Share this listing: Responsibilities The Search E-Commerce team spearheads the development of TikTok's advanced search algorithm, crucial for its booming global e-commerce platform. Utilizing state-of-the-art large-scale machine learning, along with cutting-edge NLP, CV, and multi-modal technologies, we are committed to creating a top-tier search engine. Our goal is to deliver the best e-commerce search ex

Software Engineer Graduate (Recommendation Infrastructure) - 2025 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A158825 Apply to this job Share this listing: Responsibilities Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation products to provide the most stable and best experience for our TikTok users. University graduates are important parts to our team with your fresh ideas and creative thoughts. We are looking for talented individuals to join our team in 2025. As a gra

(General Hire) Machine Learning Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS?

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A89272 Apply to this job Share this listing: Responsibilities Ads/Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our teams develop a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integr

Software Engineer Graduate (Data Arch - AI/ML Infrastructure) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A190727 Apply to this job Share this listing: Responsibilities Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation products to provide the most stable and best experience for our TikTok users. University graduates are important parts to our team with your fresh ideas and creative thoughts. We are looking for talented individuals to join our team in 2026. As a gra

Software Engineer Graduate (Data Arch - E-commerce) - 2026 Start (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A148700B Apply to this job Share this listing: Responsibilities About the Team: 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. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommen

Software Engineer Graduate (E-commerce Recommendation Infrastructure) - 2025 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A03539 Apply to this job Share this listing: Responsibilities Team Introduction: Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation products to provide the most stable and best experience for ourTikTok users. University graduates are important parts to our team with your fresh ideas and creative thoughts. We are looking for talented individuals to join our team

Machine Learning Engineer Graduate (eCommerce Recommendation) - 2025 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A144681 Apply to this job Share this listing: Responsibilities Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth oppor

Machine Learning Engineer Graduate (E-commerce Governance Algorithms) - 2025 Start (Phd)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A42279 Apply to this job Share this listing: Responsibilities Governance and Experience team of e-commerce are responsible for ensuring the safety and trustworth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passion

Software Engineer Graduate (Data Arch - Data Ecosystem ) - 2026 (PhD)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A136334 Apply to this job Share this listing: Responsibilities About the team: The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastruc

Software Engineer Graduate (Ads Creative & Ecosystem) - 2025 Start (BS/MS)

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A118631A Apply to this job Share this listing: Responsibilities The TikTok Ads Creative & Ecosystem team's mission is to solve the above dilemma, by building industry-leading tech solutions for ads creative/landing page understanding, production/generation, and optimization, to inspire and empower advertisers, creators, and other 3rd parties in the ecosystem to create and deliver the best engaging creative experiences to the end use