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About the Role
Braze is seeking a Staff Machine Learning Engineer to join our Predictive and Generative AI (PGAI) team. This role will focus on delivering engaging and personalized customer experiences through ML and AI-enhanced marketing solutions, owning these solutions end-to-end from model development to high-throughput APIs. You will help define the future of customer engagement at scale, leading solutions from prototype to product and building the supporting ML platform.
Responsibilities
- Identify and drive transformative initiatives, such as replatforming model training and serving, redefining production shipping for data science, or retiring infrastructure.
- Build and ship complex initiatives from design through production, including distributed model training and serving, model lifecycle management, and pipelines for customer-specific models.
- Own the team's technical vision and quality bar, setting direction, defining best practices, and anticipating production issues.
- Drive cross-team initiatives, managing technical relationships with messaging, analytics, and data platform teams.
- Raise the team's engineering quality through design and code reviews, ensuring production readiness for ML systems, and mentoring senior engineers and data scientists.
- Connect technical decisions to customer and business outcomes, and represent the team's technical perspective to leadership.
Requirements
- 8+ years of experience building ML systems in production, with hands-on depth across data science, ML engineering, and ML operations.
- Experience designing and training models, building production pipelines and services, and operating them under production load.
- Proven technical leadership experience, including owning team direction, leading multi-quarter cross-team initiatives, and growing senior engineers.
- Deep experience prototyping, refining, and deploying predictive models (supervised and unsupervised learning, neural networks, recommenders) using frameworks like PyTorch and Tensorflow.
- Strong distributed systems fundamentals, with experience designing for scale, reliability, and cost.
- Effective communication skills, with the ability to build consensus and drive decision-making through designs and recommendations.
Skills
- PyTorch
- Tensorflow
- Distributed systems
- Python
- Ruby on Rails
- MongoDB
- Redis
- Kubernetes
- Recommender systems
- Multi-armed bandits
- Uplift modeling
- ML platform tooling (MLflow, Ray, feature stores, ML observability)
- Customer engagement
- Personalization
- Marketing technology
Location
- New York
- Austin
- Berlin
- Bucharest
- Chicago
- Dubai
- Jakarta
- London
- Paris
- San Francisco
- São Paulo
- Singapore
- Seoul
- Sydney
- Tokyo
Work Type
- Hybrid
Experience Level
- Staff
- 8+ years
Salary/Compensations
- $184,000 - $299,812/year (base)
- $204,000 - $332,400/year (OTE)
Benefits
- Equity grants of restricted stock (RSUs)
- Comprehensive Total Rewards package
- Competitive compensation
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Medical, dental, vision, life, and disability insurance
- Fertility benefits
- Equal paid parental leave
- Professional development support (formal career pathing, learning platforms, yearly stipend)
- Curated in-office employee experience
- Opportunities to give back to the community (Volunteer Week, donation matching)
- Employee Resource Groups
About the Company
- Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™.
- Braze helps brands deliver great customer experiences that drive value for consumers and businesses.
- The platform is built on a foundation of composable intelligence, with BrazeAI™ enabling marketers to combine and activate AI agents, models, and features for smarter, faster, and more meaningful customer engagement.
- Braze enables autonomous, 1:1 personalized experiences through cross-channel messaging, journey orchestration, and AI-powered decisioning.
- The company has been recognized as a Leader in marketing technology by industry analysts and received multiple awards including G2 “Best of Marketing and Digital Advertising Software Product”, Built In’s 2026 Best Places to Work, Newsweek’s 2025 America’s Greenest Companies, and Fortune’s 2025 Best Workplace in Technology™.
- Braze is certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
- The company is headquartered in New York with offices globally.
Equal Opportunity
- Braze strives to create equitable growth and opportunities inside and outside the organization.
- Braze is committed to offering all candidates a fair, accessible, and inclusive experience regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran.
- Encourages candidates to apply even if they don't meet 100% of the criteria.
- Uses AI-assisted tools in the recruitment process for screening and administrative support, with human oversight for hiring decisions.
- Provides information about AI usage and options for alternative selection processes or accommodations upon request.