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Tech Lead, Editing; Multimodality

Job in Seattle, King County, Washington, 98127, USA
Listing for: TikTok
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 232560 - 427500 USD Yearly USD 232560.00 427500.00 YEAR
Job Description & How to Apply Below
Position: Tech Lead, Intelligent Editing (Multimodality)

Location:

Seattle

Employment Type:

Regular

Job Code: A176958

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, recording 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 multi‑modal understanding, vision and language, large‑scale training, etc.
  • Transfer advanced technologies to the company's products.
  • Explore new products with artificial intelligence technology at its core.
Qualifications

Minimum Qualifications
  • Masters or PhD in computer science, mathematics, engineering with at least 5 years of research and practical experience in one or more areas of computer vision, including but not limited to:
  • Experience in multimodal understanding, such as video highlight detection and slicing, audio/music understanding, etc.
  • Experience in vision and language, such as image/video captioning, retrieval, VQA, and other related fields.
  • Experience with language models and apply them in various downstream tasks, especially for intelligent editing.
  • Experience in large‑scale training and RLHF.
  • Experienced in implementing and optimizing complex and performance‑critical systems.
  • Strong analytical and problem solving skills.
Preferred Qualifications
  • Experience in managing or tech‑leading a team in a fast‑paced environment with record of shipping technologies to products.
  • Preferring candidates with publications in venues such as CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML or ACL, EMNLP, COLING, etc.
Job Information

The base salary range for this position in the selected city is $232,560 - $427,500 annually.

Benefits

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.

Candidate Eligibility

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 A ngeles 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:

  • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  • Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
  • Exercising sound judgment.
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