2 months ago
Base Salary
$184k - $300k/yr
Responsibilities
- Drive transformative initiatives involving model training and serving, data science production practices, and ML infrastructure modernization.
- Design, build, and operate distributed model training and serving systems, model lifecycle management, and pipelines for customer-specific models.
- Own the technical vision, quality bar, best practices, and production readiness of the team’s ML systems and platform.
- Lead initiatives spanning messaging, analytics, and data platform teams while connecting technical decisions to customer and business outcomes.
- Improve engineering quality through design reviews, code reviews, mentoring, and technical communication with product and engineering leadership.
Requirements
- 8+ years of hands-on experience building ML systems in production across data science, ML engineering, and ML operations.
- Experience designing and training predictive models, including supervised and unsupervised learning, neural networks, and recommenders, using frameworks such as PyTorch and TensorFlow.
- Strong distributed systems fundamentals and experience designing for scale, reliability, and cost.
- Experience owning technical direction, leading cross-team multi-quarter initiatives, and growing senior engineers while maintaining high personal output.
- Strong written and verbal communication skills.
- Preferred experience with recommender systems, multi-armed bandits, uplift modeling, MLflow or another model registry, Ray, feature stores, ML observability, Python, Ruby on Rails, MongoDB, Redis, Kubernetes, or customer engagement and personalization technology.
Benefits
- Base compensation for U.S. candidates is listed at $184,000-$299,812 per year, with potential equity and additional compensation excluded from this benefits summary.
- Retirement and Employee Stock Purchase Plans, flexible paid time off, and comprehensive medical, dental, vision, life, and disability benefits are offered.
- Family services include fertility benefits and equal paid parental leave.
- Professional development includes formal career pathing, learning platforms, and a yearly learning stipend.
- The company supports hybrid ways of working and offers a curated in-office experience.
- Employees receive community-giving opportunities, Volunteer Week, donation matching, and Employee Resource Groups.
Tech Stack
Categories
About Braze
Braze builds a customer engagement platform used by marketing teams to orchestrate cross-channel messaging across mobile, email, web, and more. The company sells its software via SaaS subscriptions with analytics, segmentation, and journey orchestration. Founded in 2011 and headquartered in New York, Braze is a public company (NASDAQ: BRZE) with global offices.