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TikTok

Software Engineer in Machine Learning Infra, TikTok Recommendation Architecture

SingaporeScience and EngineeringPosted May 9, 2023

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Responsibilities

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

About The Team
Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities
- Serving and training infra optimization of machine learning models
- Build and maintain high performance online services for TikTok recommendation system
- Build globalized large-scale recommendation system
- Research, design, and develop computer and network software or specialised utility programs
- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis
- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures
- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements

Qualifications

Minimum Qualification(s)
- Bachelor's degree or above, majoring in Computer Science, or related fields, with experience building scalable systems.
- Experience at least one or two programming languages in Linux environment such as C/C++/golang;
- Understand GPU hardware architecture, understand GPU software stack (CUDA, cuDNN), and have experience in GPU performance analysis;

Preferred Qualification(s)
- Have experience in deep model inference/training, debugging, tuning, and familiar with model optimization tools such as TVM, MLIR, XLA;
- Familiar with mainstream machine learning frameworks (e.g., Tensorflow, Pytorch, MxNet);

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s)
- Bachelor's degree or above, majoring in Computer Science, or related fields, with experience building scalable systems.
- Experience at least one or two programming languages in Linux environment such as C/C++/golang;
- Understand GPU hardware architecture, understand GPU software stack (CUDA, cuDNN), and have experience in GPU performance analysis;

Preferred Qualification(s)
- Have experience in deep model inference/training, debugging, tuning, and familiar with model optimization tools such as TVM, MLIR, XLA;
- Familiar with mainstream machine learning frameworks (e.g., Tensorflow, Pytorch, MxNet);

About TikTok

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

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

View company profile

Perks and Benefits

Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- On-Site Gym
- Long-Term Disability
- Short-Term Disability
- Virtual Fitness Classes
- Mental Health Benefits
Parental Benefits
- Adoption Assistance Program
- Family Support Resources
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
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
Office Life and Perks
- Casual Dress
- Snacks
- On-Site Cafeteria
- Holiday Events
- Company Outings
- Some Meals Provided
- Happy Hours
- Pet-Friendly Office
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)