Software Engineer - Machine Learning, Trust and Safety
Core
Building advanced machine learning systems for content moderation, fraud detection, and financial security to ensure a safe marketplace.
Role type
Senior Machine Learning Engineer (Trust and Safety)
Builds
Scalable content moderation, fraud, and financial security solutions for a global C2C marketplace.
Domain
E-commerce marketplace, Trust and Safety, Machine Learning
Deliverable
production ML models
Required skills
End-to-end ML system development, MLOps, backend engineering, TensorFlow, PyTorch, scikit-learn, NumPy, pandas, system monitoring, A/B testing
Preferred skills
Anomaly detection, content moderation systems, Docker, Kubernetes, cloud platforms (AWS/GCP/Azure), deep learning models/LLMs, academic publications
Technologies
TensorFlow, PyTorch, scikit-learn, NumPy, pandas, Docker, Kubernetes, AWS, GCP, Microsoft Azure
Responsibilities
Collaborate with cross-functional teams to design and implement features improving user engagement; Conduct data analysis and experimentation on large-scale datasets to refine trust and safety algorithms; Deploy scalable and efficient content moderation, fraud, and financial security solutions; Monitor system performance and conduct A/B testing; Research and recommend innovative AI/machine learning approaches.
Seniority
Senior, hands-on IC