Senior Machine Learning Engineer

What we offer

• Permanent Stability: Full-time employment contract (UoP)

• Global Exposure: Direct collaboration with senior IT leadership in the US (East and West Coast) within a 12-member expert team.

• Impactful Projects: Real involvement in a massive go-live stage, moving beyond maintenance into high-level system deployment.

• Innovation Hub: Opportunity to work in a brand-new Polish GCC, shaping the future of retail tech for millions of customers.

• Flexible Work Model: Standard CET working hours with the flexibility to sync with US teams for key strategic alignments.

Your tasks

• Implement end-to-end solutions for batch and real-time AI and GenAI algorithms along with requisite tooling around monitoring (e.g., New Relic), logging, automated testing, model retraining, model deployment (Cloud Run, Kubernetes), and metadata tracking. 
• Identify new opportunities to improve business processes and consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset, specifically focusing on Agentic AI and Automated-to-Automated (A2A) workflows. 
• Work with data scientists and analysts to create and deploy new product features on the ecommerce website, in-store portals, and the Levi's mobile app. 
• Establish scalable, efficient, automated MLOps processes for data analyses, model development, validation, and implementation. 
• Write efficient and scalable software, leveraging advanced Python and cloud-native services, to ship products in an iterative, continual-release environment. 
• Contribute to and promote good software engineering practices across the team and build cloud native software for ML pipelines (e.g., Dataproc, Dataflow). 
• Contribute to and re-use community best practices. 
• Embody the values and passions that characterize Levi Strauss & Co., with empathy to engage with colleagues from multiple backgrounds.

Besides driving the transformation of Levi's into a data-driven enterprise in general, here are some specific projects you will work on and contribute to: 

• Next-Generation Personalization: Building and optimizing real-time product recommenders (e.g., Similar Items, Complementary Recommenders, OOS Recommender). 
• Visual Commerce & Outfitting: Features like Shop the Look and developing services for Outfitting Inspiration and Generation. 
• GenAI & Agentic AI: Prototyping and productionizing the TailoredAI Assistant—an Agentic AI layer leveraging multimodal intelligence (Image, Voice, and Text Aware) for personalized styling and shopping support. 
• Loyalty & Customer AI: Architecting and deploying models for Next Best Action, Email Targeting, and sophisticated Customer Segmentation.