Senior Machine Learning Engineer, TikTok Core Feed Recommendation - Dedup

TikTok Inc.; San Jose (CA); On-site; USD 218,000 - 388,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid parental leave

Disability insurance (short-term &

Long-term disability

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Job summary

TikTok Inc. is seeking an experienced Machine Learning Engineer to join the Dedup team in the US. You will build scalable ML systems for billions of users, focusing on video understanding, originality, and content integrity.

You will deploy models and data pipelines, run production experiments, and collaborate with cross-functional teams for reliable deployment. The role requires a strong ML background, experience with PyTorch or TensorFlow, and familiarity with multimedia CV techniques.

Qualifications

• Bachelor's degree in Computer Science or related field required.
• Minimum 3 years 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.

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

Machine Learning

Deep Learning (PyTorch/TensorFlow)

Video/CV

Production ML Systems

Education

Bachelor's degree in Computer Science or related field

Master's degree in CS or related field

Job description

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.

• 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 3 years 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

Compensation Description (annually)

The base salary range for this position in the selected city is $218400 - $387600 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.

Benefits

• 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.

US-Citizenship/Local Hiring - 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.