Machine Learning Engineer, Multimodal - Intelligent Integrity

TikTok; San Jose (CA); On-site; USD 156,000 - 316,800; Full time

Job summary

TikTok is seeking strong machine learning researchers to build scalable models for content understanding and monetization. Join a global team to advance multimodal tech across text, audio, video and streaming, delivering high-accuracy risk judgment and interpretable decisions.

You will collaborate with cross-disciplinary teams to optimize ad integrity, improve advertiser value, and push the boundaries of AIGC in an ever-growing platform.

Qualifications

• Bachelor's degree or above in CS, AI, Mathematics, Statistics or related majors; 1+ year of algorithm R&D/project implementation experience in content understanding or AIGC.
• Solid ML/DL theory; deep understanding of MLLM/LLM, CV, NLP, multimodal fusion and Agent tech; strong math; self-learning and problem-solving abilities; project experience preferred.
• Proficient in PyTorch/TensorFlow; hands-on large model training, fine-tuning and inference deployment; strong Python/C++ engineering skills.

Responsibilities

• Focus on ad content understanding and security; conduct R&D for large models and apply AIGC technologies to e-commerce and short-video ad content understanding.
• Deepen multimodal understanding tech for text, audio, video, live streaming; optimize model decision-making for high-accuracy risk judgment; implement interpretable CoT generation.
• Explore RL/Agent applications in multimodal review scenarios; track AIGC trends; deliver algorithm innovation tailored to business needs.
• Develop multimodal content understanding models to empower ad intent recognition, intelligent rule retrieval and accurate risk judgment; protect ad ecosystem security.

Skills

ML/DL fundamentals

LLM/MLLM

Multimodal fusion

NLP

Algorithm R&D

Education

Bachelor's degree or above in CS/AI/Math/Statistics

Tools

PyTorch

TensorFlow

Python

C++

Job description

Responsibilities

Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking Research Engineers who are experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value.

1. Focus on ad content understanding and security, conduct algorithm R&D for large model implementation, and apply LLM/MLLM and other AIGC technologies to e-commerce and short-video ad content understanding to build a next-gen large model-based commercial intelligence review system.
2. Deepen multimodal understanding tech for text, audio, video, live streaming, etc., optimize model decision-making for high-accuracy autonomous risk judgment, and implement interpretable CoT generation for traceable model decisions.
3. Explore RL/Agent applications in multimodal review scenarios, track AIGC cutting-edge trends, and deliver algorithm innovation and engineering implementation tailored to commercial business needs.
4. Develop dedicated multimodal content understanding models to empower ad intent recognition, intelligent rule retrieval and accurate risk judgment, enhance advertisers' creation experience, reduce non-compliant content non-detection risks, and protect ad ecosystem security.

Qualifications

Minimum Qualifications:

• 1. Bachelor’s degree or above in CS, AI, Mathematics, Statistics or related majors, with 1+ year of algorithm R&D/project implementation experience in content understanding or AIGC.
• 2. Solid ML/DL theoretical foundation, in-depth understanding of MLLM/LLM, CV, NLP, multimodal fusion and Agent technologies; strong mathematical skills, excellent self-learning and problem-solving abilities; project implementation experience preferred.
• 3. Proficient in PyTorch/TensorFlow, with hands-on experience in large model training, fine-tuning and inference deployment; excellent engineering capabilities, master Python/C++.
• 4. Familiar with technical principles and applications of multimodal large models; experience in content understanding, ad analysis, multimodal representation learning or intelligent review preferred.

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

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $156000 - $316800 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. Apropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.