Tech Stack

Description

You'll join Braze's engineering team to design and scale self-learning AI systems in production, applying clean coding practices and collaborating with cross-functional teams to build data-intensive ML products.

Requirements

• 2+ years Python experience in product setting
• 1+ years in data/ML ecosystem
• Experience with major cloud platform (GCP, AWS, Azure)
• Experience putting ML models into production
• Clean, object-oriented coding; good design and testable APIs

Responsibilities

• Design and implement modular components in a cutting-edge ML product using software engineering best practices
• Partner with customers to translate use cases into generic platform components
• Produce clean, readable, and extendible Python code
• Collaborate on product strategy and roadmap
• Support customer implementation teams