Principal Machine Learning Engineer

Pull Logic is transforming the retail supply chain with a revolutionary availability-oriented paradigm that directly links customer preferences with real-time inventory. Backed by cutting-edge research from Georgia Tech’s School of Industrial and Systems Engineering , our AI-driven SaaS platform helps retailers and brands reduce lost sales, improve profitability, and elevate customer satisfaction.

We’re looking for a Principal Engineer – Data Science / Machine Learning to join our core technology team. This is a unique opportunity to shape the foundation of Pull Logic’s enterprise-grade Retail Tech products and work on solutions that have a direct impact on how modern retailers operate.

What You’ll Do

• Own the end-to-end development of data science and machine learning solutions from problem definition and data exploration to production deployment and performance monitoring following clean coding practices and SOLID principles .
• Architect and implement scalable data and ML systems , ensuring reliability, reproducibility, and low-latency model serving across Pull Logic’s platform.
• Design and automate ML pipelines (data ingestion, feature engineering, training, validation, deployment) using modern MLOps tools and frameworks while maintaining adherence to object-oriented design and SOLID software architecture .
• Prototype rapidly , test hypotheses, and iterate based on performance metrics and user feedback.
• Lead technical design reviews and set best practices for data science engineering, experimentation, and ML deployment.
• Contribute to the core data architecture , including data modeling, feature stores, and real-time data flows powering decision intelligence.
• Mentor and guide other engineers and data scientists , fostering a culture of experimentation, continuous learning, and delivery excellence.
• Partner with leadership to shape the long-term AI and data strategy , ensuring our ML systems scale with product and customer growth .

What We’re Looking For

Why Pull Logic?

Ready to Build What’s Next?

Send your resume to careers@pulllogic.com and let’s start the conversation.