At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the platform. With our team's continuous efforts, TikTok can provide the best user experience and bring joy to everyone in the world.

We are looking for excellent machine learning engineers who can take the initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. A successful candidate will have machine learning expertise and good software engineering experience. You will take pride in working with engineers, product managers, and business partners to identify and solve the most challenging safety and integrity problems on the internet scale.

Responsibilities - What You'II Do
- Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active-learning models, Reinforcement learning models, and Large Language Models.
- Deep understanding of TikTok moderation system and propose optimized method on current moderation system.
- Collaborate with product teams to define business objectives and improve trust and safety strategy.
- Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale.
- Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.

Qualifications

Minimum Qualifications:
- BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
- Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas
- Strong coding skills, especially in Python and similar languages.
- Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.

Preferred Qualifications:
- Minimum of 1 year of related experience.
- Experience in Large Language Models, multimodal modeling, Active learning, and Reinforcement learning.
- Publications in top AI/ML conferences are a plus.
- Understanding of the recommendation system or moderation system.
- Experience in developing online ML systems including ranking, and retrieval.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $137750 - $237500 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.