TikTok
Posted 127 days agoVerified live 1d ago
Machine Learning Engineer, TikTok Core Feed Recommendation - Dedup
Brief overview
San JoseIn-person
UndergradOr in progress
$156k–$317k/yrStated range
1+ yrsMinimum
1,996 H-1B approvalsDept. of Labor
230 green cardsCertified filings
Machine LearningDeep learning frameworks (e.g., PyTorch, TensorFlow)Multimedia or Computer VisionImage/video/audio retrievalRepresentation learningRe-identificationUnsupervised/self-supervised learningScalable data pipelinesReal-time data processingModel deployment and monitoring
About the company
TikToktiktok.com
TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance.
Visa sponsorship history
4 years sponsoring, last filed FY2026H-1B dependent
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.1,996H-1B approved
98%approval rate
810new H-1B hires
230PERM certified
$200,900median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023488
2024614
2025765
2026129
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
2023109
2024148
2025293
2026129
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202329
202495
202560
202646
Top sponsored roles
Software Engineer USDSSoftware Engineer - USDSSoftware EngineerData Scientist USDSData Engineer USDS
Sponsored employees from
ChinaIndiaCanadaTaiwanSouth Korea
Job description
Summary
TikTok is the leading destination for short-form mobile video, and they are seeking a Machine Learning Engineer for their Dedup team. This role focuses on building and scaling AI technologies that enhance video understanding and content integrity for billions of users globally.
Responsibilities
- Build and scale the Dedup and Copyright system that supports billions of users globally
- Design and deploy machine learning models to support video understanding and content integrity
- Integrate cutting-edge AI technologies to improve model accuracy, performance, and system efficiency
- Develop scalable data pipelines and infrastructure to support training and serving of ML models on real-time, unstructured data
- Run experiments to evaluate and debug models in production environments
- Collaborate with cross-functional teams to ensure smooth deployment and monitoring of ML systems
Skills
- Bachelor's degree or above in Computer Science or a related field
- Minimum of 1 year of industry experience in Machine Learning
- Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow)
- Experience in Multimedia or Computer Vision areas such as image/video/audio retrieval, representation learning, re-identification, or unsupervised/self-supervised learning
- Master's degree or higher in Computer Science or a related field
- Experience working in large-scale production environments or high-growth tech companies
Qualifications
Must Haves
- Bachelor's degree or above in Computer Science or a related field
- Minimum of 1 year of industry experience in Machine Learning
- Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow)
- Experience in Multimedia or Computer Vision areas such as image/video/audio retrieval, representation learning, re-identification, or unsupervised/self-supervised learning
Nice to Haves
- Master's degree or higher in Computer Science or a related field
- Experience working in large-scale production environments or high-growth tech companies
Benefits
- Additional discretionary bonuses/incentives
- Restricted stock units
- Employees have day one access to medical, dental, and vision insurance
- A 401(k) savings plan with company match
- Paid parental leave
- Short-term and long-term disability coverage
- Life insurance
- Wellbeing benefits
- 10 paid holidays per year
- 10 paid sick days per year
- 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
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