ML Specialist, Trust and Safety

3 weeks ago

Singapore TIKTOK PTE. LTD. Full time
Roles & Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.


Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.


Our Trust & Safety team's commitment is to keep our online community safe. We have invested heavily in human and machine based moderation to remove harmful content quickly and often before it reaches our general community.

Our Trust & Safety team's commitment is to keep our online community safe. We have invested heavily in human and machine based moderation to remove harmful content quickly and often before it reaches our general community.


As an ML Specialist, you will be responsible for training our global AI models (CV, OCR, NLP, Audio, Multimodel) to ensure accurate and efficient detection of unsafe content. You will work with the algorithm engineers, the data labelling team and the product & process team to design and improve machine learning model operation processes. This role is crucial in ensuring the quality and relevancy of input into the model which will impact the overall safety of our users.


Responsibilities:

1. Manage and optimise DataOps procedures, ensuring standardisation and stability of features for model lifecycle operation.

2. Automate and maintain the model training pipeline to ensure effective and efficient MLOps processes.

3. Implement and oversee auto-parameter tuning methods to optimise machine learning models.

4. Collaborate with algo R&D and engineers to understand and implement complex ML frameworks.

5. Monitor and report on model performance, identify areas for improvement and implement necessary adjustments via solid root causes analyses.

6. Establish MLOps policies and ensure their adherence across all data and ML initiatives.

7. Troubleshoot moderation system issues through effectively communicating technical/business details to various stakeholders.


Qualifications

1. Bachelor's degree in Computer Science, Statistics, Data Science, Data Analytics or a related field. An advanced degree(Master's, PhD) is preferred.

2. Extensive experience in machine learning, data science, and data governance. Proven experience in implementing MLOps or DataOps processes is a plus.

3. Passionate about technology, product and innovation; Solid knowledge of ML models (e.g. CV, NLP, OCR, Audio, Multimodel) and frameworks(e.g. few-shot learning, active learning etc); Proficiency in SQL and Python; Prior experience with pre-trained models like CLIP is a plus.

4. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

5. Good communication skills and enjoy working with diverse teams globally.



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.


Tell employers what skills you have

Fire Safety
Machine Learning
Aviation
Risk Assessment
Root Cause Analysis
Data Governance
Construction Safety
Tuning
Good Communication Skills
Refinery
Audits
Statistics
Data Science
Data Analytics
OCR

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