The opportunity
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
What you'll do
Identify and drive the transformative initiatives that change what the team: can deliver, whether that's replatforming how we train and serve models, redefining how data science ships to production, or retiring a generation of infrastructure
Build and ship at high velocity. Staff at Braze is a hands-on delivery role;: you carry the most complex initiatives yourself from design through production. Current examples include distributed model training and serving, model lifecycle management, and the pipelines that keep hundreds of customer-specific models healthy across regions
Own the team's technical vision and quality bar. Set direction across the: product portfolio and the ML platform, define best practices, and anticipate problems before they reach production
Drive initiatives that span teams. Our solutions ship into messaging,: analytics, and data platform surfaces, and you carry the technical relationships with those teams
Raise the team's engineering quality through design review, code review, and: production readiness for ML systems, and mentor other senior engineers and data scientists
Connect technical decisions to customer and business outcomes, and represent: the team's technical perspective to product and engineering leadership
What they're looking for
- + years building ML systems in production, with hands-on depth across data: science, ML engineering, and ML operations. You have designed and trained models yourself, built the pipelines and services that run them, and operated them under production load
- A technical leader who has owned direction for a team, led multi-quarter: initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output
- Deep experience prototyping, refining, and deploying predictive models: (supervised and unsupervised learning, neural networks, recommenders) with frameworks such as PyTorch and Tensorflow
- Strong distributed systems fundamentals, designing for scale, reliability,: and cost on the billions of daily data points our customers generate
