Staples is business to business. You're what binds us together.
(Location - Remote)
At Staples our Digital Solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, Agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners, and deliver reliable, customer-centric technology services. If you want to be on the front lines, driving one of the greatest technology transformations of the 21st Century, you should join our team!
Staples' Order Management and Supply Chain Systems team enables scalable, efficient, and intelligent order and delivery solutions, and exceptional customer experience through our expertise in business domains and technologies. We are currently taking a platform re-engineering approach to consolidate, modernize, and simplify legacy applications by standardizing interfaces, building micro-services, and/or integrating with 3rd party software that'll effectively reduce tech debt and vendor footprint, and improve time to market and service levels.
What you'll be doing:
We are looking for dedicated machine learning engineer to help reimagine our systems from the ground up. We need talented people to help design the next generation of technology applications. You are hands-on and will be developing predictive algorithms producing high-level architecture designs, building, and operating services at scale. You will be partnering with a team Software/Data/ML/Applied engineers for building high performing applications that interact with large scale distributed systems.
What you bring to the table:
Qualifications :
What's needed- Basic Qualifications
What's needed- Preferred Qualifications
We Offer:
Interested in joining the team? Check out our!
Staples believes Inclusion is a verb and we encourage diversity of thinking and ideas as well as backgrounds and experiences. Staples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.