Senior Machine Learning Engineer - Risk Modeling
EarnIn- Full Time
- Senior (5 to 8 years)
Candidates should possess strong programming skills in languages like Python, Java, or C++, along with proficiency in SQL and experience with at least one ML stack such as PyTorch. They should have a deep understanding of machine learning, deep learning, and emerging AI technologies, and a proven track record of building, debugging, and fine-tuning real-time machine learning models for user-facing products. Experience applying expertise to fraud detection, content moderation, or related fields is preferred.
As a Senior Machine Learning Engineer, you will develop, deploy, and maintain end-to-end machine learning models to identify and mitigate bad actors, remove policy-violating content, and ensure user safety on the platform. You will design and implement scalable systems using technologies like Spark and Kubernetes, define standardized performance metrics and testing protocols, ensure ongoing assessment and refinement of AI solutions, and collaborate closely with various teams to create a comprehensive approach to user safety. Furthermore, you will stay abreast of new trends and research in AI/ML to improve detection, user safety, and address potential threats.
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