TikTok
AI

Machine Learning Engineer AIGC Development

TikTok · San Jose, CA, US · $176k - $395k

Actively hiring Posted about 1 month ago

Role overview

Product ops

Machine Learning Engineer - AIGC Development

Location

:

San Jose

Employment Type

:

Regular

Job Code

:

A46930

What you'll work on

About the team

TikTok's Data Cycling Center Team focuses on building content, understanding, and data-driven solutions for both internal stakeholders and tools for external users. We focus on both delivering human intelligence and direct content understanding, helping solve large impact business and ML problems from that understanding. By delivering the highest quality data possible, we play a key part in developing industry leading AI models.

What we're looking for

  • 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.

Tags & focus areas

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Ai Machine Learning