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

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Responsibilities

Team Introduction

• The Intelligent Creation
• AI Platform team is a team focusing on building advanced end-to-end AI production pipelines, including deep learning model training, optimization, deployment and applications. We provide AI capabilities to empower content creation and consumption on Tik Tok and serve billions of users.

The team is looking for strong software engineers who can take initiatives to design and implement highly efficient engineering systems for generative AI tasks, including but not limited to model training and optimization, model deployment with efficient hardware consumption, and applications such as image/video processing and interactive editing.

Responsibilities:

• Design, architect, and implement large-scale distributed systems that power vision and generative AI models for Tik Tok products.
• Develop automation frameworks and tools to enhance engineering efficiency, reliability, and scalability.
• Lead end-to-end project planning and execution, driving the overall success of product delivery.
• Collaborate with product teams to build and scale large vision and generative AI systems, delivering cutting-edge AIGC capabilities to Tik Tok products.

Qualifications

• Minimum Qualifications
• B.S./M.S./Ph.D. in Computer Science or related fields with 5+ years of software development experience.
• 5+ years of Python/C/C++/Go experience, proficient in at least one programming language and solid software engineering design skills.
• Experience in building large-scale service systems or model serving platforms with deep learning components, familiar with RPC frameworks, high-concurrency systems, and distributed architectures.
• Hands-on experience with model inference, optimization, and deployment pipelines, ensuring low latency, scalability, and reliability in production environments.
• Familiar with transformer-based and diffusion-based generative models, and understanding of large vision or multimodal foundation model systems.

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• Preferred Qualifications- Experience in optimizing deep learning model training, tuning and deployment.
• Knowledge in cutting-edge computer vision and deep learning technologies and follow the most recent research advances.
• Excellent communication and teamwork skills.

Job InformationFor Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $118657 - $259200 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.

Client-provided location(s): San Jose, CA

Job ID: Tik Tok-7294453695571806514

Employment Type: OTHER

Posted: 2024-10-07T00:38:48
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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

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