Senior Software Engineer, Personalization
Lead personalization and classification algorithm productionization, building ML model-serving infrastructure and translating experimental outputs into scalable production systems. Requires 5+ years experience, backend/infrastructure specialization, and proficiency in AWS, Java, Python, and TypeScript.
About the job
Key Responsibilities
- Lead the productionalization of personalization and classification algorithms
- Build with data and analytics in mind to ensure continued accuracy and relevance of personalization, classification, and ranking algorithms
- Translate experimental outputs (from AWS Sagemaker/Personalize) into production-ready systems, ensuring efficiency and reproducibility
- Demonstrate full stack experience with specialization in backend or infrastructure while contributing to broader projects
- Collaborate on architecture and technical decisions that influence the direction of the platform, ensuring scalability, performance, and user-focused improvements
- Design and maintain model-serving infrastructure, including APIs, batch pipelines, or streaming systems required to deploy ML models reliably
- Focus on performance optimization and system reliability, especially as user base grows
- Drive experimentation with MVPs, balancing rapid iteration with long-term sustainable growth and developer experience
- Provide mentorship to engineers, fostering a culture of growth and collaboration
Requirements
- 5+ years of experience leading complex technical projects with significant business impact
- Experience integrating LLM or ML outputs into core product features
- Strong specialization in backend or infrastructure systems while maintaining broad knowledge of the full stack
- Proficiency in IaC, AWS, Java, Python, Typescript with experience in backend systems
- Experience with scalability, performance optimization, and building tools that support data-driven decision-making
- Strong problem-solving skills and a passion for creating products that connect people in the real world
- Ability to lead initiatives, mentor others, and communicate effectively across technical and non-technical teams
Skills
Aws Sagemaker, Aws Personalize, Java, Python, TypeScript, Infrastructure As Code, Backend Systems, Ml Model Deployment, API Design, Data Pipelines
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