← Search all jobs

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

TikTok

Seattle, WA · Posted November 13, 2026

Just laid off? Start here: a plan for the first weeks

See every open role at TikTok

More in Washington job market · Technology & Software · Data & Analytics jobs

More roles at TikTok

Similar jobs

Where Seattle, WA ranks

Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.

How AI is used in this kind of work

Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

TikTok has filed one layoff notice in the last twelve months, covering 250 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

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.

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.

1. Collaborate with product teams to define business objectives and improve trust and safety strategy. 2. Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale. 3. Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies. 4. 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.

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.

Minimum Qualifications: 1. Ph.D in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields. 2. Hands-on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas. 3. Strong coding skills. 4. Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.