Senior Machine Learning Engineer

Job Summary

Leading the development of crawling infrastructure for the Competitive Intelligence platform, the full-time remote Senior Machine Learning Engineer will design and deploy machine learning models to extract competitive intelligence signals, build end-to-end ML pipelines, and collaborate with cross-functional teams to inform pricing strategies and product decisions.

Key responsibilities:

• Design and deploy ML models to extract and structure competitive intelligence signals from large-scale datasets
• Build and maintain end-to-end ML pipelines ensuring high data fidelity and resilience to schema drift
• Run rigorous experiments to evaluate model quality and collaborate with stakeholders to turn outputs into actionable business decisions

Required qualifications:

• 5-10 years of professional experience in applied Machine Learning with a proven track record of deploying models at scale
• Exceptional programming proficiency in Python, with additional experience in Scala, Java, or similar languages
• Deep mastery of ML fundamentals, including feature engineering and advanced algorithms like gradient boosted trees and neural networks
• Hands-on expertise with modern ML frameworks such as TensorFlow or PyTorch
• A Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a closely related technical field