Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

Senior Machine Learning Engineer

AT NIKE, Inc.
NIKE, Inc.

Senior Machine Learning Engineer

Beaverton, OR

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game.

Senior Machine Learning Engineer - NIKE USA Inc. - Beaverton , OR. Develop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments; develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms; use machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy; use current programming language and technologies to translate algorithms and technical specifications into code; complete programming and implements efficiencies, performs testing and debugging; complete documentation and procedures for installation and maintenance; apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations; adapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience; and work with large scale computing frameworks, data analysis systems and modeling environments. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV.

Want more jobs like this?

Get jobs in Beaverton, OR delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.


Employer will accept a Master's degree in Computer Science or Software Engineering and two (2) years of experience in the job offered or in an engineer-related occupation.

Experience must include the following:

  • Machine learning algorithms


  • Data science methods


  • Data wrangling with structured and unstructured data


  • Feature engineering


  • Time series, forecasting, and natural language processing


  • Programing languages including Java, Spark, and Scala


  • Scripting languages such as Python, R, and SAS


  • SQL


  • Deep learning methods and computer visions


  • Solution and technical design


  • Hyperparameter tuning approaches


  • Cloud technologies such as Google cloud, AWS or similar platforms


  • Distributed Systems


  • Productionalizing ML models at scal e


  • Cross team collaboration

Apply at www.jobs.nike.com (Job #R-49928).

#LI-DNI

We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form .

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Benefits

Whether it's transportation or financial health, we continually invest in our employees to help them achieve greatness - inside and outside of work. All who work here should be able to realize their full potential.

Client-provided location(s): Beaverton, OR, USA
Job ID: nike-21272_R-49928
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
    • Fertility Benefits
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Veteran founded/led