Research Engineer, Global E-commerce

Minimum Qualifications:
- Bachelor's degree in Computer Science, Machine Learning, Computer Vision, or a related technical field.
- Strong understanding of modern video generative model architectures, such as diffusion models, Transformer-based models (e.g., DiT), and VAEs.
- Hands-on experience in post-training or fine-tuning generative models (e.g., SFT, RLHF/DPO, LoRA/PEFT).
- Proficiency in mainstream deep learning frameworks such as PyTorch, JAX, or TensorFlow.
- Experience working with large-scale data and training pipelines, with an understanding of trade-offs among generation quality, stability, and inference cost.

Preferred Qualifications:
- Master's or PhD degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience with temporal consistency and spatial consistency in video generation.
- Experience with multi-shot or long-form coherent video generation, such as scene continuity, shot transition modeling, or long-context video synthesis.
- Publications in ML conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH, etc.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $187040 - $438000 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: TikTok-7608355045889034549

Employment Type: OTHER

Posted: 2026-02-23T19:35:58