Responsibilities
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:
Want more jobs like this?
Get jobs in Singapore delivered to your inbox every week.
1. Collaborate with algo R&D and engineers to manage and optimise model service stability, ensuring stability of model lifecycle operation.
2. Monitor and report on model performance, identify areas for improvement and implement necessary adjustments via solid root causes analyses.
3. Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc.
Qualifications
Minimum 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 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 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.