Senior Machine Learning Engineer - Trust & Safety
Location: San Francisco, CA Bay Area or Mountain View, CA
📢New opening for a Senior ML Engineer to join a world-class team focused on building and deploying scalable ML models within online trust & safety.
Summary:
• You will be part of a world-class ML/AI team, developing machine learning models for content moderation and classification. Working cross-functionally to turn business challenges into AI-driven solutions.
• Develop large-scale production ML models to solve online safety problems. Trust & Safety, content Intelligence, content moderation, fraud detection, anomaly detection, recommender systems.
• Build and scale our retrieval-augmented generation (RAG) system that delivers analytic insights and automation to our product teams.
• Create and apply NLP, LLM AI models for customer safety in text, voice, audio and image classification.
• Develop sophisticated AI/ML paradigms model optimization, encoder based architecture, model improvement at scale.
• Train and optimize ML models, neural networks, within frameworks; TensorFlow and PyTorch.
Experience:
• Minimum of 5-7 years of professional experience in machine learning, deep learning and NLP.
• Hands-on experience with generative AI models multi-modal AI.
• Expertise in applying machine learning models in a professional environment with large, complex datasets.
• Familiar working in trust and safety, fraud, user integrity.
• Expertise with Python, Scala, scikit-learn, Jax, PyTorch and PySpark, Tensorflow.
• ML model training, MLOps, NLP, parameter tuning, transformer models, optimization, encoder models, RAG.
• Familiarity with multimodal AI models combining text, image, and video data.
Education:
Master’s in Mathematics, Computer Science, Statistics, Engineering or similar degree (PhD preferred but not required)
