Base Salary
$184k - $300k/yr
Responsibilities
- Drive transformative initiatives involving ML training and serving, data-science production workflows, and infrastructure retirement.
- Design, build, deploy, and operate distributed model-training and model-serving systems, model lifecycle management, and pipelines for customer-specific models.
- Own the team’s technical vision, engineering quality bar, best practices, and production readiness for ML systems.
- Lead initiatives spanning messaging, analytics, and data platform teams and connect technical decisions to customer and business outcomes.
- Conduct design and code reviews, mentor senior engineers and data scientists, and represent the team’s technical perspective to leadership.
Requirements
- At least 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.
- Demonstrated technical leadership of team direction, multi-quarter cross-team initiatives, and senior engineer development while maintaining high personal output.
- Strong verbal and written communication skills that build consensus and support decision-making.
- Preferred experience with recommender systems, multi-armed bandits, uplift modeling, MLflow or other model registries, Ray, feature stores, ML observability, Python, Ruby on Rails, MongoDB, Redis, Kubernetes, or customer engagement and personalization technology.
Benefits
- Competitive compensation that may include equity, retirement and employee stock purchase plans, and flexible paid time off.
- Medical, dental, vision, life, disability, fertility, and equal paid parental leave benefits.
- Professional development through career pathing, learning platforms, and a yearly learning stipend.
- Hybrid ways of working with a curated in-office employee experience.
- Volunteer Week, donation matching, Employee Resource Groups, and a collaborative culture recognized as a Great Place to Work.
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.