5 days ago
🏡 Remote – Anywhere in California
• Build and deploy ML systems to detect and prevent abuse • Develop reusable ML features leveraging user behavior modeling • Design, implement, and evaluate experiments for ML models • Build scalable ML infrastructure for system reliability • Collaborate to identify and execute high-impact opportunities
• 4+ years as a Machine Learning Engineer or Data Scientist • Deployed low-latency machine learning systems at scale • Proficient in Python with software engineering principles • Managed end-to-end data lifecycle for ML products • Experience with machine learning tools: PyTorch, Transformers, XGBoost, scikit-learn • Stay ahead of industry trends in ML • Passionate about solving data problems and collaborating with experts
• equity • benefits
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