Senior Machine Learning Engineer

Levi Strauss & Co.
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Job Description

About the Job:

  • Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
  • 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
  • Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
  • Work closely 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 and well-organized software to ship products in an iterative, continual-release environment
  • Contribute to and promote good software engineering practices across the team
  • Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code
  • Communicate clearly and effectively to technical and non-technical audiences equally well
  • Actively 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 a wide range of backgrounds

EOE M/F/Disability/Vets

LOCATION

San Francisco, CA, USA / Remote - USA

FULL TIME/PART TIME

Full time

Company Info.

Levi Strauss & Co.

Levi Strauss & Co. is an American clothing company known worldwide for its Levi's brand of denim jeans. It was founded in May 1853 when German immigrant Levi Strauss moved from Buttenheim, Bavaria, to San Francisco, California, to open a west coast branch of his brothers' New York dry goods business.

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Levi Strauss & Co. is currently hiring Senior Machine Learning Engineer Jobs in United States with average base salary of $160,000 - $240,000 / Year.

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