Braze is looking for a Principal Machine Learning Engineer, Recommendation Systems to establish the technical vision for personalization and solve the company’s most complex ML challenges. You will influence strategy, architecture, and innovation across teams.
What You'll Do
- Define company-wide personalization strategy and architecture, driving alignment across all ML teams.
- Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs.
- Design and implement advanced ML solutions using techniques like graph neural networks, causal models, and bandit algorithms.
- Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams.
- Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs.
- Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability.
- Represent Braze’s technical brand externally through speaking engagements, open source contributions, or publications.
- Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems.
What We're Looking For
- Expertise building ML systems with deep expertise in large-scale personalization.
- Recognized industry expertise through patents, publications, or significant product impact.
- Proven success architecting ML platforms serving billions of predictions in production.
- Demonstrated track record of 0→1 innovation in personalization or recommender systems.
- Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models.
- 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization.
Work Mode
This is a global, remote-first position. Our team spans over 15 countries. The listed location is Playa del Carmen, Mexico.
We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
