Machine Learning Engineer - AIGC Development

- Collaborative Experimentation and Documentation: Work in tandem with various teams to formulate meticulous experiment plans, documenting results with utmost precision, and patiently addressing inquiries from both technical and non-technical stakeholders.

Qualifications

Minimum Qualifications:
- Bachelor's/Master's degree in Computer Science, Computer Engineering, or other relevant majors.
- 4+ years of Machine Learning experience: Demonstrated previous experience owning the end-of-end machine learning model development process. Understand how data plays a crucial role in terms of model quality, model iteration and model evaluation.
- 4+ years of experience working with Python/Pytorch: Possesses advanced skills in Python programming, showcasing the ability to develop and implement robust models in production environments solutions.
- Statistical Knowledge: Demonstrates strong statistical background and can leverage statistical knowledge in solving business analytical requirements.
- Strategic Interpersonal Skills: Displays formidable interpersonal skills, embodying an ability to seize new opportunities, be able to set product directions strategically, ignite innovative ideas, and marshal support to bring products from conceptualization to realization.
- Familiar with the technical principles of modern LLM/MLLM development and application for content generation and content understanding purposes.

Preferred Qualifications:
-Creative thinking and a passion for innovation.
-Experience with the AIGC modeling process: Have previously trained or applied MLLM models (T2I and T2V) for key business use cases.
-Understand the data curation process and model evaluation criteria when developing AIGC models.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $176356 - $395280 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-7606084001369360645

Employment Type: OTHER

Posted: 2026-02-13T19:57:48