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Tik Tok

Backend Software Engineer

• Inference Optimization

3+ months ago• Singapore
Viewed on February 1, 2026
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

• Size: 5001-10000 employees
• Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile:

Responsibilities:

Tik Tok will be prioritizing applicants who have a current right to work in Singapore, and do not require Tik Tok's sponsorship of a visa.

About the Team:

Our Trust and Safety R&D team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. With the continuous efforts from our team, Tik Tok is able to provide the best user experience and bring joy to everyone in the world.
Our mission is to build a bridge for collaboration between algorithm models and business scenarios, and efficiently and stably apply TnS's algorithmic capabilities to Tik Tok's business scenarios. And let TnS's algorithmic capabilities cover wherever Tik Tok needs them.

Responsibilities:

1. Work closely with business teams to optimize the integration plan for algorithm applications, improve efficiency in evaluating and using algorithm applications across various business scenarios, and reduce the cost of managing and optimizing algorithm applications in different business scenarios.
2. Be responsible for the architectural design, development, and performance tuning of algorithm applications, solving technical challenges such as high concurrency, high reliability, and high scalability. Work includes multiple sub-areas: resource scheduling, task orchestration, model training, model inference, model management, dataset management, workflow orchestration, etc.
3. Be responsible for researching and introducing cutting-edge engineering technologies related to algorithms.

Qualifications:

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering or equivalent practical experience
• Master at least one of the following languages in Linux environment: C/C++, Python, Go
• Master at least one state-of-the-art machine learning framework (e.g., Tensorflow, Pytorch);
• Strong analytical abilities and problem solving

Preferred Qualifications:

• Have experience working in large scale tech companies.
• Familiar with model optimization algorithms like quantization and pruning.
• Practical experience in performance optimization/tuning of deep learning model training/inference.
• Practical experience in CUDA programming and TensorRT
• Familiar with LLM model inference framework like VLLM and TensorRT-LLM

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Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• HSA
• Life Insurance
• Fitness Subsidies
• Short-Term Disability
• Long-Term Disability
• On-Site Gym
• Mental Health Benefits
• Virtual Fitness Classes

Parental Benefits

• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Snacks
• Pet-friendly Office
• Happy Hours
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Company Equity

Professional Development

• Promote From Within
• Access to Online Courses
• Leadership Training Program
• Associate or Rotational Training Program
• Mentor Program

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

Company Videos

Hear directly from employees about what it is like to work at Tik Tok.
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Next Up Tik Tok Client Provided Video 101:20

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• 02:18Working at Tik Tok- Get Ready With Ali01:20Tik Tok Client Provided Video 100:33Client Provided Video 2 - Tik Tok02:07Working at Tik Tok
• Limitless Possibilities01:41Working at Tik Tok
• Women's Community01:31Working at Tik Tok
• Women's Empowerment01:45Working At Tik Tok
• BLXCK01:27Working at Tik Tok
• Diversity, Equity and Inclusion with BLXCK
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