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 is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. The company has been recognized as a 2024 U.S. News & World Report Best Companies to Work For, 2024 Best Small & Medium Workplaces in Europe by Great Place to Work®, 2024 Fortune Best Workplaces for Women™ by Great Place to Work® and was named a Leader by Gartner® in the 2024 Magic Quadrant™ for Multichannel Marketing Hubs and a Strong Performer in The Forrester Wave™: Email Marketing Service Providers, Q3 2024. Braze is headquartered in New York with 15 offices across AMER, LATAM, EMEA, and APAC. Learn more at braze.com.