Machine Learning Engineer, TikTok Core Feed Recommendation - Dedup
May 29, 2025 San Jose
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
About the Team
Dedup team drives research and develops cutting-edge AI technologies that power core product experiences. Our work focuses on building large-scale, high-performance systems that support key strategies such as video deduplication, originality recognition, copyright detection, content safety, and content moderation. We are committed to delivering a seamless and safe user experience by pushing the boundaries of AI in production environments.
Responsibilities
1. Build and scale the Dedup and Copyright system that supports billions of users globally
2. Design and deploy machine learning models to support video understanding and content integrity
3. Integrate cutting-edge AI technologies to improve model accuracy, performance, and system efficiency
4. Develop scalable data pipelines and infrastructure to support training and serving of ML models on real-time, unstructured data
5. Run experiments to evaluate and debug models in production environments
6. Collaborate with cross-functional teams to ensure smooth deployment and monitoring of ML systems
Qualifications
Minimum Qualifications
1. Bachelor's degree or above in Computer Science or a related field
2. Minimum of 1 year of industry experience in Machine Learning
3. Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow)
4. Experience in Multimedia or Computer Vision areas such as image/video/audio retrieval, representation learning, re-identification, or unsupervised/self-supervised learning
Preferred Qualifications
1. Master's degree or higher in Computer Science or a related field
2. Experience working in large-scale production environments or high-growth tech companies
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $162000 - $316800 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. 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, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About the Team
Dedup team drives research and develops cutting-edge AI technologies that power core product experiences. Our work focuses on building large-scale, high-performance systems that support key strategies such as video deduplication, originality recognition, copyright detection, content safety, and content moderation. We are committed to delivering a seamless and safe user experience by pushing the boundaries of AI in production environments.
Responsibilities
1. Build and scale the Dedup and Copyright system that supports billions of users globally
2. Design and deploy machine learning models to support video understanding and content integrity
3. Integrate cutting-edge AI technologies to improve model accuracy, performance, and system efficiency
4. Develop scalable data pipelines and infrastructure to support training and serving of ML models on real-time, unstructured data
5. Run experiments to evaluate and debug models in production environments
6. Collaborate with cross-functional teams to ensure smooth deployment and monitoring of ML systems
Minimum Qualifications
1. Bachelor's degree or above in Computer Science or a related field
2. Minimum of 1 year of industry experience in Machine Learning
3. Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow)
4. Experience in Multimedia or Computer Vision areas such as image/video/audio retrieval, representation learning, re-identification, or unsupervised/self-supervised learning
Preferred Qualifications
1. Master's degree or higher in Computer Science or a related field
2. Experience working in large-scale production environments or high-growth tech companies
About the Team
Dedup team drives research and develops cutting-edge AI technologies that power core product experiences. Our work focuses on building large-scale, high-performance systems that support key strategies such as video deduplication, originality recognition, copyright detection, content safety, and content moderation. We are committed to delivering a seamless and safe user experience by pushing the boundaries of AI in production environments.
Responsibilities
1. Build and scale the Dedup and Copyright system that supports billions of users globally
2. Design and deploy machine learning models to support video understanding and content integrity
3. Integrate cutting-edge AI technologies to improve model accuracy, performance, and system efficiency
4. Develop scalable data pipelines and infrastructure to support training and serving of ML models on real-time, unstructured data
5. Run experiments to evaluate and debug models in production environments
6. Collaborate with cross-functional teams to ensure smooth deployment and monitoring of ML systems
Qualifications
Minimum Qualifications
1. Bachelor's degree or above in Computer Science or a related field
2. Minimum of 1 year of industry experience in Machine Learning
3. Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow)
4. Experience in Multimedia or Computer Vision areas such as image/video/audio retrieval, representation learning, re-identification, or unsupervised/self-supervised learning
Preferred Qualifications
1. Master's degree or higher in Computer Science or a related field
2. Experience working in large-scale production environments or high-growth tech companies
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $162000 - $316800 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. 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, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
Responsibilities
ResponsibilitiesAbout the Team
Dedup team drives research and develops cutting-edge AI technologies that power core product experiences. Our work focuses on building large-scale, high-performance systems that support key strategies such as video deduplication, originality recognition, copyright detection, content safety, and content moderation. We are committed to delivering a seamless and safe user experience by pushing the boundaries of AI in production environments.
Responsibilities
1. Build and scale the Dedup and Copyright system that supports billions of users globally
2. Design and deploy machine learning models to support video understanding and content integrity
3. Integrate cutting-edge AI technologies to improve model accuracy, performance, and system efficiency
4. Develop scalable data pipelines and infrastructure to support training and serving of ML models on real-time, unstructured data
5. Run experiments to evaluate and debug models in production environments
6. Collaborate with cross-functional teams to ensure smooth deployment and monitoring of ML systems
Qualifications
QualificationsMinimum Qualifications
1. Bachelor's degree or above in Computer Science or a related field
2. Minimum of 1 year of industry experience in Machine Learning
3. Proficiency with at least one deep learning framework (e.g., PyTorch, TensorFlow)
4. Experience in Multimedia or Computer Vision areas such as image/video/audio retrieval, representation learning, re-identification, or unsupervised/self-supervised learning
Preferred Qualifications
1. Master's degree or higher in Computer Science or a related field
2. Experience working in large-scale production environments or high-growth tech companies
Additional Information
- Salary: $162,000 – $316,800
- Posted: May 29, 2025