Machine Learning Operations Manager (Safety Model Operations) - AI Data Service & Operations

Responsibilities
Our Company will be prioritizing applicants who have a current right to work in Singapore, and do not require Our Company's sponsorship of a visa.

About the Team
The AI Data Service and Operations (ADSO) team is responsible for providing safety and non-safety data annotation services and search operation services for all of the company's international products, which can also help international products build their own data ecological security.

The Safety Model Operations (SMO) team within ADSO is responsible for building, optimizing, and maintaining machine learning (ML) models and operational processes that support TikTok's Trust & Safety systems. We ensure that automated safety models perform effectively in identifying harmful content, mitigating risks, and maintaining a safe user environment across regions.

What You Will Do
- Own and optimize the end-to-end Machine Learning Operations (MLOps) lifecycle for safety models, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
- Design, implement, and continuously improve automated ML pipelines (training, inference, and evaluation) to increase efficiency, scalability, and reliability.
- Collaborate with ML Engineers, Data Scientists, and other relevant cross functional teams to identify model performance gaps, data drift, and production issues, then drive initiatives to resolve them.
- Explore and integrate the latest MLOps tools, frameworks, and LLMOps best practices to streamline experimentation, model versioning, CI/CD for ML, and automated retraining.
- Establish and maintain robust model monitoring, observability, and alerting systems to detect performance degradation, bias, and data quality issues in production.
- Lead initiatives to improve training data quality and coverage by developing advanced data pipelines, synthetic data strategies, and active learning approaches.
- Take end-to-end ownership of model operations — from dataset curation and standard setting to production deployment and post-launch performance tracking.
- Stay current with cutting-edge research and industry trends in MLOps, LLMOps, and scalable model serving.

Qualifications
Minimum Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Engineering, or a related quantitative field.
- 3+ years of experience in MLOps, LLMOps, or production ML systems.
- Proven experience to lead and drive end to end projects.
- Strong understanding of machine learning fundamentals, including LLMs, transformers, and modern deep learning architectures.
- Hands-on experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow, Weights & Biases, or similar).
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow.
- Solid experience in building and maintaining data and ML pipelines, cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (Kubernetes).
- Demonstrated ability to manage cross-functional projects, with excellent communication skills (technical and non-technical) and a strong sense of ownership.

Preferred Qualifications
- Experience in Trust & Safety, content moderation, or working with large-scale moderation models.
- Strong knowledge of CI/CD for machine learning, model serving (e.g., Triton, TorchServe, SageMaker), feature stores, and monitoring tools (e.g., Prometheus, Grafana, Evidently).
- Experience with big data technologies (Spark, Hadoop, Flink) and large-scale distributed training.
- Familiarity with regulatory compliance and ethical AI practices in content safety.

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.​
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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.​