Sr Machine Learning Engineer II

Staples is business to business. You’re what binds us together.

Join our Staples World Class Supply Chain Team and deliver essential products to our customers. Help reimagine Staples systems from the ground up and design the next generation Generative AI and AI/ML/NLP applications. Develop machine intelligence algorithms and solutions including high-level architecture designs, code/model development, evaluation, and operationalizing solutions at scale. Partner with a team Software, Data, ML, and Applied engineers for building high performing applications that interact with large scale distributed systems. Incubate ideas, prototype, develop, and productionize machine learning applications. Writing software programs, test for quality and push model to cloud for production. Fetch big data related to Staples systems, analyze, detect patterns, and build models using data. Instill best practices related to software engineering and machine learning engineering problems. Shape next generation technology at Staples by defining the future roadmap for ongoing work.

What You’ll Be Doing

• Build Generative AI based Staples next generation machine intelligence platform.
• Ideate, prototype, productionize cross reference solution for bid processing.
• Lead development of GenAI/ML enabled customer service intelligence solution.
• In all phases of software development including concept, design, prototyping, and production release adhering to industry best DevOps/MLOps practices.
• Analyze large volume data (product catalog, customer service, enterprise workflow) to automate complex event processing via machine learning and Generative AI.
• Diagnostic, debugging, and troubleshooting skills to fix and improve existing systems.
• Building applications on Azure with attention to security, cost, and data sensitivity
  
  

• 14+ years of experience in designing/building/improving ML engineering systems
• Handson experience in designing and implementing highly reliable, fault-tolerant distributed ML applications with focus on ML Operations and CI/CD.
• Prior experience in all phases of software development including concept, design, prototyping, and production release adhering to industry best DevOps/MLOps.
• Development of algorithms, design, build, and maintain systems that deals with streaming big data for analytics and Machine learning.
• Self-driven, technical leader/architect who has the tenacity to solve hard, challenging, data/compute intensive problems.
• Solid experience in building forward looking ML solutions despite ambiguous/evolving problem requirements.
  
  

• Must have’s required skills & skills that can be validated by reviewing the resume
  
  

• Nice to have skills and skills that can be validated by reviewing the resume
  
  

• Salary
• Inclusive culture with associate-led Business Resource Groups and resources such as the Social Justice Resource Center
• Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays), Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more perks and benefits