We are looking for individuals with a strong background in machine learning operations, cloud computing, and data engineering. Ideal candidates should possess excellent problem-solving skills, a collaborative mindset, and a desire to work in a fast-paced environment. Proficiency in programming languages such as Python or R, experience with ML frameworks, and familiarity with cloud platforms like AWS or Azure are highly desirable.
About the job
Do you have a passion for data, a drive for partner success, and a knack for innovation? If you're ready to hustle and bring your technical expertise to the forefront, Pattern is the place for you! Join us in our mission to propel one of the fastest-growing companies in the US to new heights.
At Pattern, we specialize in accelerating brands within the global e-commerce landscape by harnessing cutting-edge technology and artificial intelligence. With access to over 46 trillion data points, our sophisticated machine learning and AI models empower us to optimize and automate every aspect of e-commerce growth for global brands. This includes advertising, content management, logistics, fulfillment, pricing, forecasting, and customer service. Hundreds of renowned brands rely on Pattern’s e-commerce acceleration platform daily to achieve sustainable revenue growth across more than 60 global marketplaces—such as Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. Discover more about us at pattern.com or drop us an email at press@pattern.com.
Recognized by Deloitte as one of the fastest-growing tech companies in North America and celebrated by Inc. as one of the best-led companies, we prioritize employee experience at the core of our business model. We are proud to be listed as one of Newsweek’s Global Most Loved Workplaces®.
About Pattern
Pattern is a pioneering company that accelerates brands in the global e-commerce sector through innovative technology and AI solutions, managing a vast array of data points to drive growth and efficiency.
This job posting is no longer active and is not accepting applications.
We are looking for individuals with a strong background in machine learning operations, cloud computing, and data engineering. Ideal candidates should possess excellent problem-solving skills, a collaborative mindset, and a desire to work in a fast-paced environment. Proficiency in programming languages such as Python or R, experience with ML frameworks, and familiarity with cloud platforms like AWS or Azure are highly desirable.
About the job
Do you have a passion for data, a drive for partner success, and a knack for innovation? If you're ready to hustle and bring your technical expertise to the forefront, Pattern is the place for you! Join us in our mission to propel one of the fastest-growing companies in the US to new heights.
At Pattern, we specialize in accelerating brands within the global e-commerce landscape by harnessing cutting-edge technology and artificial intelligence. With access to over 46 trillion data points, our sophisticated machine learning and AI models empower us to optimize and automate every aspect of e-commerce growth for global brands. This includes advertising, content management, logistics, fulfillment, pricing, forecasting, and customer service. Hundreds of renowned brands rely on Pattern’s e-commerce acceleration platform daily to achieve sustainable revenue growth across more than 60 global marketplaces—such as Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. Discover more about us at pattern.com or drop us an email at press@pattern.com.
Recognized by Deloitte as one of the fastest-growing tech companies in North America and celebrated by Inc. as one of the best-led companies, we prioritize employee experience at the core of our business model. We are proud to be listed as one of Newsweek’s Global Most Loved Workplaces®.
About Pattern
Pattern is a pioneering company that accelerates brands in the global e-commerce sector through innovative technology and AI solutions, managing a vast array of data points to drive growth and efficiency.