CV​/NLP​/Multimodal LLM Machine Learning Engineer Graduate; TikTok-Trust and Safety

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

Location:

Seattle

Employment Type:

Regular

Job Code: A115025

• 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 key challenges and propose data‑driven strategies.
• Work on state‑of‑the‑art content understanding techniques including unimodal/multimodal content classifiers, active learning models, reinforcement learning models, and large language models.

Minimum Qualifications:

• Students completing or having recently completed a PhD in Computer Science, Electrical Engineering, Operations Research, Applied Mathematics, or similar quantitative fields.
• Hands‑on or academic experience in machine learning, large language models, recommendation systems, or related areas.
• Strong coding skills.
• Curiosity toward new technologies, entrepreneurship, good communication and teamwork skills.

The base salary range for this position in Seattle is $148,200 – $300,960 annually. Compensation may vary outside this range depending on qualifications, skills, competencies and experience, and location. Base pay is one part of the total package that includes discretionary bonuses, incentives and restricted stock units.

Employees receive day‑one access to medical, dental, and vision insurance; 401(k) savings plan with company match; paid parental leave; short‑term and long‑term disability coverage; life insurance; wellbeing benefits; 10 paid holidays, 10 paid sick days, and 17 days of paid personal time (prorated upon hire with increasing accruals by tenure). The company reserves the right to modify benefits programs at any time.

Qualified applicants with arrest or conviction records will be considered in accordance with federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Criminal history may impact the following duties, potentially leading to the withdrawal of conditional offers:

• Interacting and occasionally having unsupervised contact with internal or external clients and/or colleagues.
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems.
• Exercising sound judgment.