Machine Learning 4
Work options: Remote
REMOTE - US
Title: Machine Learning 4
Location: REMOTE - US
Duration: 10 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
REMOTE - US
Title: Machine Learning 4
Location: REMOTE - US
Duration: 10 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.
- Create descriptive, diagnostic, predictive, and prescriptive insights/algorithms.
- Utilize machine learning and statistical modeling techniques (e.g., decision trees, logistic regression, Bayesian analysis) to enhance product/system performance, quality, and data accuracy.
- Translate algorithms and technical specifications into code using current programming languages and technologies.
- Complete programming, implement efficiencies, and conduct testing and debugging.
- Document procedures for installation and maintenance.
- Apply deep learning technologies to enhance computer capabilities in complex scenarios.
- Adapt machine learning to areas such as virtual reality, augmented reality, artificial intelligence, and robotics.
- Bachelor's Degree required.
- Minimum of 8-9 years directly relevant work experience.
- Alternatives accepted:
- PhD or Law degree + 6 years of experience
- Master's degree + 7 years of experience
- Associate's degree + 9 years of experience
- High School diploma + 10 years of experience
- Proven expertise in:
- Developing and implementing software algorithms in structured and unstructured environments.
- Machine learning and statistical modeling techniques.
- Translating technical specifications into code.
- Testing, debugging, and documentation of software solutions.
- Applying deep learning technologies and adapting machine learning to interactive product experiences.
-
Seniority level
Mid-Senior level -
Employment type
Contract -
Job function
Engineering and Information Technology -
Industries
Retail
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