Tech Lead, Research Scientist, Generative AI

TikTok Inc.; San Jose (CA); On-site; USD 254,000 - 480,000; Full time

Job summary

TikTok Inc. is seeking a researcher for the Intelligent Creation Team in California.

The team focuses on AI, special effects, and audio-video creation technologies across deep learning, graphics, and vision, delivering content understanding and generation capabilities to internal partners and external collaborators. You will conduct cutting-edge research in computer vision and ML, with emphasis on generative AI, diffusion models, and multimodal generation.

Qualifications

• 3+ years in computer vision research and applied ML.
• Experience with diffusion models and GANs.
• Publications in top venues preferred.
• Strong coding in C/C++ and Python.

Responsibilities

• Conduct cutting-edge research in computer vision and ML, focusing on generative AI.
• Translate advanced technologies into TikTok products.
• Explore new AI-centered products.

Skills

Computer vision

Generative AI

Diffusion models

Multimodal generation

C/C++

Python

Tools

Git

CUDA

TensorFlow

PyTorch

Job description

Responsibilities

About the team

The Intelligent Creation Team is the AI, special effects, and audio-video creation technology team, responsible for the core technology and business development. It covers a variety of technical fields, including deep learning, computer vision, graphics, speech, shooting and editing, special effects, client and server engineering, and provides cutting-edge content understanding, content creation, interactive experience, and consumption capabilities and industry solutions to other business lines within the company and external partners in various forms.

• Conduct cutting-edge research and development in computer vision and machine learning, especially in the areas of generative AI (e.g. image, video, or 3d generation).
• Transfer advanced technologies to the company's products;
• Explore new products with artificial intelligence technology at its core.

Qualifications

Minimum Qualifications

• 3+ years of research and practical experience in one or more areas of computer vision, including but not limited to
• Generative model customization and personalization, especially diffusion models and GANs
• Multimodal and controlled image and video generation by text, audio, video and other modalities.
• Preferring candidates with publications in top-tier venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia, etc
• Highly competent in algorithms and programming; Strong coding skills in C/C++ and Python.
• Work and collaborate well with team members.
• Ability to work independently.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $254400 - $480000 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.