Senior Machine Learning Engineer

Job Location: Warsaw, Poland

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future. 

Be a pioneer in the fashion industry by joining our global Data, Analytics & AI "startup with assets," where you will have the chance to build exciting solutions to help our Americas business and at the same time be part of a bigger, across-continents, data community. 

As the Senior Machine Learning Engineer, you will work alongside the Data Science team to operationalize the Machine Learning and Generative AI (GenAI) models in Production on a broad set of domains that power a data-driven transformation of our standard business procedures across channels and organizations. You will develop and deploy novel approaches to optimize existing AI systems to maximize their value and increase consumer satisfaction at every brand touchpoint. 

The Senior Machine Learning Engineer will report directly to the Direct to Customer (DTC) AI Engineering Manager.  

About the Job 

• 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. 

About You 

• University or advanced degree in eng