Recommendation Systems Engineer

About This Role

Requirements

• Develop and deploy recommendation algorithms (collaborative filtering, content-based, hybrid approaches) in production environments
• Build and maintain data pipelines for training datasets, feature engineering, and model serving at scale
• Design experiments and run A/B tests to measure recommendation quality and business impact metrics
• Optimize model performance, latency, and inference costs for real-time recommendations
• Collaborate with product and data teams to translate business requirements into ML solutions
• Write clean, well-tested Python code and contribute to ML infrastructure
• Demonstrate proficiency with modern ML frameworks and tools (PyTorch, TensorFlow, or equivalent)

Required Skills