Tech Lead Machine Learning Engineer - Multimodal/LLM, Trust and Safety

TikTok; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

TikTok is seeking a Tech Lead Machine Learning Engineer for Multimodal/LLM in Trust and Safety. You will own core system modules, architect end-to-end ML pipelines, and guide a small team to deploy production-ready models across video, image, text, and audio moderation.

You will apply CV/NLP/LLM techniques to real-world safety challenges and collaborate with policy and product partners. The role emphasizes strong ownership, architecture design, and hands-on leadership to drive impactful safety

Qualifications

• Master's or PhD in Computer Science, ML, AI or related field.
• 4+ years hands-on ML system development experience.
• Experience leading small technical teams or driving ML modules end-to-end.
• Experience deploying large-scale ML models to production environments.
• Strong expertise in CV/NLP/LLM and multimodal modelling.
• Solid understanding of training, fine-tuning, evaluation and optimization.

Responsibilities

• Own the design and delivery of a core system module within a content safety vertical.
• Lead ML engineers to deliver production-ready solutions with strong technical rigor.
• Architect and implement end-to-end ML pipelines: data processing, training, evaluation, deployment, monitoring.
• Apply advanced CV/NLP/LLM techniques to multimodal moderation challenges.
• Improve model performance via data analysis, feature engineering and experimentation.
• Collaborate with product, policy and operations to align technical solutions with safety requirements.

Skills

ML leadership

Production ML

CV/NLP/LLM

Model training

Architectural design

Ownership mindset

Education

Master's or PhD in CS/ML/AI

Job description

Tech Lead Machine Learning Engineer - Multimodal/LLM, Trust and Safety

Location:

Employment Type:

Regular

Job Code:

A172255A

Responsibilities

We are the Trust & Safety Algorithms Team at TikTok, dedicated to building intelligent systems that safeguard our content ecosystem and protect our global community. Our team develops advanced machine learning solutions to moderate content across multiple modalities - including video, images, text, and audio - in alignment with our Community Guidelines.We play a critical role in detecting and preventing harmful content, mitigating platform abuse, and maintaining a safe, trustworthy environment for users around the world.Content moderation represents one of the most impactful and technically complex applications of large-scale machine learning. It is also a frontier domain for Large Language Models (LLMs) and multimodal foundation models. By joining our team, you will work at the cutting edge of ML innovation, tackle highly challenging real-world safety problems, and drive meaningful societal impact at global scale.

• Own the design and delivery of a core system module within a key content safety vertical
• Lead ML engineers to deliver high-quality, production-ready solutions with strong technical rigor
• Architect and implement end-to-end ML pipelines, including data processing, model training, evaluation, deployment, and monitoring
• Apply advanced CV/NLP/LLM techniques to solve real-world moderation challenges across video, image, text, and audio
• Continuously improve model performance through data analysis, error diagnosis, feature engineering, and model innovation
• Collaborate closely with cross-functional partners (product, policy, operations etc.) to ensure technical solutions align with evolving business and safety requirements.

Qualifications

Minimum Qualification(s)

• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 4+ years of hands-on experience in machine learning system development
• Proven experience leading small technical teams or driving major ML modules end-to-end
• Experience deploying large-scale ML models into production environments
• Strong expertise in at least one of the following areas: Computer Vision, Natural Language Processing, Large Language Models / Generative AI and Multimodal modeling
• Solid understanding of model training, fine-tuning, evaluation, and optimization
• Strong ownership mindset - able to independently drive ambiguous problems to clear technical solutions.
• Hands-on technical leader who can both design architecture and dive into implementation details

Preferred Qualification(s)

• Experience with LLM alignment, safety modeling, or trust & safety domains

Job Information

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.

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