Machine Learning Engineer, Ranking & Retrieval, Machine Learning, Artificial Intelligence

• Build and improve Machine Learning (ML) models for classification, ranking, retrieval and personalization
• Develop efficient classifiers and optimize model accuracy, precision, latency and cost
• Improve search relevance and context retrieval using embeddings, hybrid search and reranking
• Build personalization models that learn from user behavior while respecting privacy
• Develop evaluation pipelines, labeled datasets and metrics to measure model quality
• Fine-tune and adapt existing models when supported by sufficient data
• Build and maintain Machine Learning (ML) training, inference and deployment pipelines
• Debug production issues, monitor model performance and ship improvements based on real-world feedback
• Collaborate with engineering and product teams to deliver reliable ML-powered features

• Machine Learning (ML) experience is required
• Artificial Intelligence (AI) experience is required
• Strong foundations in Machine Learning (ML) and modern neural architectures
• Hands-on experience building and deploying Machine Learning (ML) models in production
• Experience in classification, ranking, retrieval, recommendation systems or personalization
• Understanding of model evaluation, experimentation and performance metrics
• Comfortable writing production-quality code and working with real-world datasets
• Able to balance model quality, latency, cost and reliability
• Strong ownership and problem-solving skills
• Experience with embeddings, vector search and ranking models
• Experience with production Machine Learning (ML) systems and inference pipelines
• Proficiency in Python and PyTorch/JAX
• Willingness to complete a 60-minute coding assessment

• Medical insurance
• Dental insurance
• Vision insurance
• Savings Plan Options
• PTO