CV/NLP/Multimodal LLM Machine Learning Engineer Graduate (TikTok-Trust and Safety) - 2026 Start (PhD)

Responsibilities

The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously.

• 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.
• 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.

Qualifications

• Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
• Hands-on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas.
• Strong coding skills.
• Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.

Job Information

[For Pay Transparency] Compensation Description (Annually) The base salary range for this position in the selected city is $148,200 - $300,960 annually. Compensation may vary 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.

• Medical, dental, and vision insurance.
• A 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Lifetime life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 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.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Diversity & Inclusion

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 Accommodation

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://tinyurl.com/RA-request.