Senior Staff Machine Learning Engineer
Flex- Full Time
- Senior (5 to 8 years)
Candidates must possess a Master’s degree in Computer Science, Mathematics, Statistics, or Physics, along with a minimum of two years of experience in a job related to engineering or machine learning. Experience should include proficiency in Python, Numpy, Databricks, AWS ECR+EKS, ML Ops & Maintenance and AWS, Distributed Version Control Systems (git), and the ability to gather requirements and deliver technical projects of medium scope and moderate uncertainty.
The Senior Machine Learning Engineer will develop, code, and test programs and systems to meet defined specifications, build scalable software solutions, implement new technologies, manage existing platforms, and design applications leveraging prediction models and optimization programs. They will also analyze data to uncover insights, clean and prepare data for analysis, track model accuracy and performance, apply machine learning methods, build APIs and software libraries, and contribute to core analytics and machine learning platforms. Furthermore, they will assess problems, lead the development of technical solutions, embrace Nike’s core values, and communicate effectively with stakeholders.
Designs and sells athletic footwear and apparel
Nike designs, manufactures, and sells a variety of footwear, apparel, equipment, and accessories aimed at athletes, fitness enthusiasts, and everyday consumers. Their products are created to be stylish and performance-oriented, catering to the needs of a diverse clientele. Nike operates through multiple sales channels, including retail stores, online platforms, and third-party retailers, and enhances its brand image through endorsements from well-known athletes and sports teams. A key aspect of Nike's approach is its membership program, which offers exclusive access to products and content, fostering a deeper connection with consumers. Unlike many competitors, Nike places a strong emphasis on sustainability and corporate responsibility, integrating these values into its operations and product development. The company's goal is to continue growing by creating products that resonate with consumers while promoting positive social and environmental impact.