Principal ML Engineer (Hybrid location)

Full Time
Portland, OR 97229
Posted
Job description
OUTGROWN YOUR OWN BACKYARD? COME PLAY IN OURS.
At Columbia Sportswear Company (CSC), we’re as passionate about the outdoors as you are. And while our gear is available worldwide, we’re proud to be based in the Pacific Northwest, where natural wonders are our playground.

Every product we make and every task we undertake is inspired by the famous words of our founder Gert Boyle: “It’s perfect. Now make it better.” As pioneers of relentless improvement, we are constantly evolving.

We believe the outdoors is ours to protect and strive to keep our planet healthy. We believe in empowering people to experience the outdoors to the fullest.

And we believe in you.

ABOUT THE POSITION

Although we're an apparel and footwear focused company, technology is central to everything we do. Columbia Sportswear’s Digital Technology (CDT) teams enable an IT infrastructure across four global brands, a global supply chain, and 500+ geographically dispersed stores. These teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry.

As the Principal Machine Learning Engineer, you will drive the creation of how CSC develops and deploys production ML/AI models. You will determine model standards and develop process to ensure compliance with these patterns. You will be instrumental in the CSC’s ability to advance our ML processes and techniques into the future.

HOW YOU WILL MAKE A DIFFERENCE

  • Architect systems to standardize and continuously deliver performant machine learning models
  • Perform model training, hyperparameter tuning, and model parallelization/distribution to achieve high end performance and accuracy
  • Develop Python libraries, functions, and other shared components that enable easier sharing of resources across data science teammates and machine learning models
  • Collaborate with data scientists, data engineers, and product teams to convert MVP/R&D data science models into stable, maintainable production processes
  • Collaborate with members of data science, data engineering, and operations to define standards and patterns for ML Operations

YOU ARE

  • Able to envision a strategy, communicate and promote, and then dive in to help others achieve the vision
  • An excellent communicator that can document and present complex technical information in a clear and concise manner to a variety of audiences
  • Highly structured with the ability to organize others around you
  • A creative thought leader that is consultative in their approach

YOU HAVE

  • 5+ years of hands-on experience in ML pipelines, ETL, data model processing
  • 5+ years of experience developing in OOP environment (Python, Scala, C++, Java)
  • 3+ years of experience deploying and productionizing ML applications
  • 3+ years of experience with distributed programming frameworks (Databricks preferred)
  • Proficient in machine/deep learning frameworks (scikit-learn, TensorFlow, Keras, etc)
  • Proficient in machine learning lifecycle management framework (MLFlow preferred)
  • Experience in container ecosystems (Kubernetes)
  • Ability to diagram, articulate, and document data science and engineering concepts

#LI-CN1

#LI-Hybrid

Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one since 1938, working to perfect the art of enjoying the outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that strives to do the right thing.

This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.

At Columbia Sportswear Company (CSC), we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, military and veteran status, and any other characteristic protected by applicable law. CSC believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. All employment is decided on the basis of qualifications, merit, and business need.

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