Senior Machine Learning Scientist I

Summary

Join Braze's Intelligence team as a Senior Machine Learning Scientist and contribute to creating ML and AI-enhanced marketing solutions. Collaborate with product managers and engineers to leverage data and improve customer decision-making. Analyze billions of daily data points to identify predictive signals. Build, analyze, and iterate on machine learning models using various techniques. This role requires 5+ years of experience in the technology industry and with cloud/distributed systems, a Ph.D. in a relevant field or significant equivalent experience, and extensive experience with predictive modeling and AI neural networks. Braze offers competitive compensation, equity, retirement plans, flexible PTO, comprehensive benefits, family services, professional development opportunities, and a collaborative culture.

Requirements

• 5+ years of experience in the technology industry
• 5+ years of experience working with cloud or distributed systems and large customer datasets
• Ph.D. in Computer Science, Applied Mathematics, or significant experience developing and deploying machine learning systems
• Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI neural networks
• Experience working with Data Stores and frameworks such as TensorFlow and PyTorch

Responsibilities

• Collaborate with Product Managers and Engineers to build innovative ways to leverage data and improve decision-making for our customers
• Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals
• Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised & unsupervised learning, reinforcement learning, neural networks, or simple regressions

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