Machine Learning Engineer

Levi Strauss & Company
Job LocationUS
Job TagRemote


Location: San Francisco or Remote

We are taking one of the world’s most iconic brands into the next century: from creating machine learning-powered denim finishes to using block-chain for our factory workers’ wellbeing, to building algorithms to better meet the needs of our consumers and optimize our supply chain.

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 Machine Learning Engineer, you will work alongside the Data Science team to operationalize the Machine Learning 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 machine learning systems to maximize their value and increase consumer satisfaction at every brand touchpoint. You will report into the Director of AI/ML Engineering.

We are open to candidates located outside the San Francisco Bay Area who want to work remotely!


  • Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing and A/B testing.
  • Identify new opportunities to improve business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
  • 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 processes for data analyses, model development, validation and implementation.
  • Write efficient software to ship products in an iterative, continual-release environment.
  • Contribute to and promote good software engineering practices across the team.
  • 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.
  • Example projects:
    • Personalized in-session product recommendation engine
    • Customer Segmentation
    • Automated text summarization and clustering
    • Next-Best offer prediction
    • Design Micro-assortments for Next-Gen stores
    • Anomaly detection and Root Cause Analysis
    • Unified consumer profile with probabilistic record linkage
    • Visual search for similar and complementary products


  • University or advanced degree in engineering, computer science, mathematics, or a related field
  • 3+ years experience developing and deploying machine learning systems into production
  • Experience working with a variety of relational SQL and NoSQL databases
  • Experience working with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with at least one cloud provider solution (AWS, GCP, Azure)
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Experience working in a Linux environment
  • Knowledge of data pipeline and workflow management tools
  • Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
  • Relevant working experience with Docker and Kubernetes is a big plus

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