Senior Machine Learning Engineer

Braze is seeking a Senior Machine Learning Engineer to join their growing Engineering team. The successful candidate will design, improve, and scale Braze's self-learning AI platform using robust software engineering best practices and extensive knowledge of Python. The role requires 2+ years of experience working with Python in a product setting, including 1+ years in a data/machine learning ecosystem.

Requirements

• Use robust software engineering best practices to design, implement, and improve modular components in a cutting-edge ML product
• Work closely with Braze customers to understand, translate and generalize particular use cases to generic platform components
• Apply your extensive knowledge of Python and its ecosystem to produce clean, readable, and extendible code, and coach others on the team in doing the same
• Collaborate with teams responsible for Braze’s product strategy and roadmap
• Support teams implementing Braze for customers to ensure their success

Benefits

• Competitive compensation that may include equity
• Retirement and Employee Stock Purchase Plans
• Flexible paid time off
• Comprehensive benefit plans covering medical, dental, vision, life, and disability
• Family services that include fertility benefits and equal paid parental leave
• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
• A curated in-office employee experience, designed to foster community, team connections, and innovation
• Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
• Employee Resource Groups that provide supportive communities within Braze
• Collaborative, transparent, and fun culture recognized as a Great Place to Work®