2 days ago
Base Salary
$148k - $222k/yr
Responsibilities
- Build and evolve ML and LLM platform architecture for training, evaluation, inference, and monitoring.
- Design and scale feature storage and real-time retrieval systems for training and inference datasets.
- Improve reliability, observability, operational excellence, and cost efficiency of ML workloads.
- Lead technical execution, architecture, code reviews, and design reviews while authoring high-impact production code.
- Mentor engineers and establish technical standards, best practices, and design patterns.
- Partner with product, ML, data science, infrastructure, security, and engineering leaders to define the platform roadmap.
- Participate in on-call and incident management for team services.
Requirements
- 7+ years of experience as a software engineer, ML platform engineer, or similar, building backend or distributed systems.
- Experience designing and launching production AI/ML systems at scale.
- Strong proficiency in Python or a similar backend language such as Go, Java, or Scala.
- Experience with cloud infrastructure and platform fundamentals, including AWS and Kubernetes.
- Familiarity with streaming or batch processing, data modeling, and large-scale data systems such as Spark and Ray Data.
- Ability to collaborate with ML, product, infrastructure, and security partners.
- Strong communication skills and a record of driving technical excellence across teams.
Benefits
- The role is based in Boston.
- The role may require up to 10% travel, coordinated in advance, for onboarding, partner work, team meetings, and industry events.
- The company offers health, welfare, and wellbeing benefits based on eligibility.
- Additional compensation offerings may include annual cash bonus, equity, and sign-on payments.
Tech Stack
Categories
About Klaviyo
Klaviyo builds a subscription SaaS platform that lets e-commerce and consumer brands use first-party data to run targeted email, SMS, and push campaigns, with built-in automation and analytics. The product also includes B2C CRM features for segmentation, A/B testing, and customer lifecycle workflows. Founded in 2012 and headquartered in Boston, it is a public company (NYSE: KVYO) used by brands such as Mattel and Glossier.