
Principal Machine Learning Architect
Há 3 dias
Job Description
You will play a key role in shaping the technical vision for personalization. This involves solving complex ML challenges and influencing strategy, architecture, and innovation across teams.
Solving critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs is also part of this role.
You will design and implement advanced ML solutions using cutting-edge techniques.
Creating and enforcing ML architecture patterns, design standards, and reusable infrastructure across teams is also expected from you.
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 our technical brand externally through speaking engagements, open source contributions, or publications.
Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems.
Key Responsibilities:
- 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 cutting-edge techniques (e.g., graph neural networks, causal models, 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 our technical brand externally through speaking engagements, open source contributions, or publications.
- Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems.
Requirements:
- 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.
Benefits:
We offer a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. Our mission is to connect consumers with leading brands through data-driven content and technology.
We value diversity, equity, and inclusion.
About You:
- Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy.
- Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation.
- Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority.
- Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity.
- Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.
- External Thought Leadership: Represents us in the ML community and contributes to growing our reputation as a leader in ML innovation.
- Curious & Forward-Looking: Constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies.
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