CV/NLP/Multimodal LLM Research Scientist Graduate (Trust and Safety) - 2026 Start (PhD)

TikTok; San Jose (CA); On-site; USD 145,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

Paid holidays and sick leave

Job summary

A leading tech company seeks Research Scientist Graduates for their CV/NLP/Multimodal LLM team to start in 2026. Candidates will work on state-of-the-art models ensuring compliance with community guidelines whilst nurturing their skills through mentorship. This role combines opportunities for innovation and personal growth in a diverse environment.

Qualifications

• PhD in computer science or related field required.
• Familiarity with computer vision and multimodality is expected.
• Proficiency in deep learning frameworks is necessary.

Responsibilities

• Develop computer vision and multimodality models to recognize violated content.
• Optimize the training framework for large models.
• Implement cutting-edge algorithms specific to TikTok's platform.

Skills

Analytical skills

Problem-solving skills

Communication skills

Collaboration skills

Education

PhD degree in computer science or a related technical discipline

Tools

PyTorch

TensorFlow

Job description

Research Scientist Graduate- CV/NLP/Multimodal LLM,(Trust and Safety) - 2026 Start(PhD)

Join to apply for the Research Scientist Graduate- CV/NLP/Multimodal LLM,(Trust and Safety) - 2026 Start(PhD) role at TikTok

Research Scientist Graduate- CV/NLP/Multimodal LLM,(Trust and Safety) - 2026 Start(PhD)

1 week ago Be among the first 25 applicants

Join to apply for the Research Scientist Graduate- CV/NLP/Multimodal LLM,(Trust and Safety) - 2026 Start(PhD) role at TikTok

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.

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 unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

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.

Responsibilities

• Develop computer vision model or multimodality model to recognize violation content in TikTok
• Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)
• Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc
• Continuously optimize the training framework to better adapt to the training of large models
  
  

Qualifications

Minimum Qualifications:

• PhD degree in computer science or a related technical discipline
• Related Research Experience at least one of the following areas: computer vision, multimodality, LLM
• Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)
• Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills
  
  

Preferred Qualifications:

• Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc
  
  

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $145000 - $250000 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:

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

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.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

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

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