Machine Learning 3
Nike
Beaverton, OR
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Work options: Remote
Onsite: Mon-Thurs
Title: Machine Learning 3
Location: Beaverton, OR
Duration: 7 months contract
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.
What You Will Work On
Onsite: Mon-Thurs
Title: Machine Learning 3
Location: Beaverton, OR
Duration: 7 months contract
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.
What You Will Work On
- Develop and program integrated software algorithms to structure, analyze, and leverage data in product and systems applications across structured and unstructured environments.
- Design and communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms.
- Use machine learning (ML) and statistical modeling techniques (e.g., decision trees, logistic regression, Bayesian analysis) to enhance product/system performance, quality, data management, and accuracy.
- Translate algorithms and technical specifications into code using Python and other current programming languages and technologies.
- Implement, test, debug, and optimize algorithms, ensuring efficiency and accuracy.
- Complete documentation and procedures for software installation, maintenance, and updates.
- Apply deep learning technologies to enable visualization, learning, and response to complex scenarios.
- Adapt ML to applications in virtual reality, augmented reality, artificial intelligence, robotics, and interactive user experiences.
- Work with large-scale computing frameworks, data analysis systems, and modeling environments.
- Bachelor's Degree required; Engineering background preferred.
- Minimum of 5 years directly relevant work experience in software development and engineering.
- Proficiency in Spark, Python, and implementing ML algorithms/MLOps.
- Experience in productionizing and maintaining machine learning models.
- Ability to collaborate effectively with data science teams.
- Exposure to GenAI tools and capabilities is a plus.
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Seniority level
Mid-Senior level -
Employment type
Contract -
Job function
Engineering and Information Technology -
Industries
Retail
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