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Principal Machine Learning Engineer (Remote work option)

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Undergraduate degree in Computer Science or related field, 7+ years of professional experience in software engineering and machine learning, Proficiency in Python, AWS, and SQL, Experience with algorithm design and ETL pipelines, Knowledge of MLOps, containerization, and CI/CD.

Key responsabilities:

  • Develop robust AI/ML solutions impacting business
  • Own projects from conception to operationalization
  • Design scalable applications for data-driven decisions
  • Provide technical vision and guidance
  • Collaborate within global teams on analytics and engineering
Nike logo
Nike Retail (Super / Hypermarket) XLarge https://www.nike.com/
10001 Employees
See more Nike offers

Job description

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $138,400.00 in our lowest geographic market to $327,200.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.
 

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, it’s about each person bringing skills and passion to a challenging and constantly evolving game. 

 

WHO ARE WE LOOKING FOR 

 

We seek passionate engineers to join our team.  As a Principal AI/ML Engineer, you will influence and develop robust machine learning and generative AI solutions that have a direct impact on the business.  You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. Sagemaker or DataBricks).  You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model.  As a Principal AI/ML Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle.  As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role.   

 

WHAT WILL YOU WORK ON 

 

If this is you, you’ll be working with the Artificial Intelligence and Machine Learning (AI/ML) team at Nike.  With teammates in Portland, Boston, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale.  You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact.  You’ll also contribute to core advanced analytics, machine learning, and generative AI platforms and tools to enable both prediction and optimization model development.  You thrive when surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large.  

 

WHO WILL YOU WORK WITH 

 

In this role, you’ll be working closely with the rest of our global team, along with commercial and consumer analytics, and enterprise architecture teams. 

 

WHAT YOU BRING  

  • Undergraduate degree in Computer Science, a Master’s degree in a related engineering field, or equivalent experience 

  • 7+ years of professional experience in software engineering, machine learning, or related fields 

  • Strong analytical mindset and experience leading others in problem solving 

  • Proficiency working in a team and mentoring others to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD 

  • Expertise with agile development and test-driven development 

  • Expertise with data structures, data modeling and software architecture 

  • Expertise in producing predictive or mathematical optimization models and deploying them to production 

  • Experience with complex data sets, ETL pipelines, SQL, and general data engineering 

  • Expertise in MLOps or API development is highly desirable 

  • Expertise with cloud architecture and technologies, especially Amazon Web Services 

  • Expertise with Spark, Kubernetes, Docker, Jenkins, Databricks, or Terraform is highly desirable 

  • Effective communication skills with team members, stakeholders, the business, and in code 

  • Experience influencing technical strategy through all aspects of technical design and implementation 

  • Proficiency providing technical leadership within a team and mentorship to others 

 

 

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. 

 

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Retail (Super / Hypermarket)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Problem Solving
  • Team Leadership
  • Verbal Communication Skills
  • Analytical Thinking

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