Base Salary
$184k - $300k/yr
Responsibilities
- Lead transformative initiatives involving model training and serving, data science production workflows, and infrastructure modernization.
- Design, train, deploy, and operate distributed machine-learning models and services under production load.
- Build model lifecycle management and pipelines supporting hundreds of customer-specific models across regions.
- Own the technical vision, direction, best practices, and quality standards for the ML product portfolio and platform.
- Drive technical initiatives across messaging, analytics, and data platform teams.
- Improve engineering quality through design reviews, code reviews, production readiness, and mentoring.
- Connect technical decisions to customer and business outcomes and represent the team to product and engineering leadership.
Requirements
- 8+ years of experience building production ML systems with hands-on depth in 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.
- Technical leadership experience owning team direction, leading cross-team multi-quarter initiatives, and developing senior engineers.
- Strong verbal and written communication skills that support consensus-building and decision-making.
- 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, and customer engagement or personalization technology.
Benefits
- Competitive compensation that may include equity, plus retirement and employee stock purchase plans.
- Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
- Fertility benefits and equal paid parental leave.
- Professional development through career pathing, learning platforms, and a yearly learning stipend.
- Hybrid ways of working and a curated in-office employee experience.
- Volunteer Week, donation matching, Employee Resource Groups, and a collaborative workplace culture.
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.