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Software Engineer II - Recommendations

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Software Engineer II - Recommendations in USA new

  • Klaviyo
  • Full time
  • Email
  • Boston, MA

Responsibilities

  • Contribute to the architecture and evolution of reliable, performant backend services and clear APIs for product recommendations.
  • Build and maintain large-scale data processing pipelines that transform events and catalog data into features and model inputs.
  • Partner with ML engineers and product stakeholders to productionize recommendation models for batch and real-time inference.
  • Contribute to the vector database supporting recommendations, semantic search, and agentic use cases.
  • Implement observability through metrics, logging, tracing, and dashboards.
  • Break projects into milestones while balancing experimentation, technical soundness, and maintainability.
  • Lead data-driven decision-making and A/B testing, interpreting results to guide product and engineering iterations.
  • Participate in on-call and incident response and drive post-incident improvements to system resilience and operability.
  • Use AI to accelerate development, automate testing, and improve monitoring and debugging workflows.
  • Share knowledge, mentor junior engineers, and define best practices for data frameworks, distributed systems, and production ML integration.

Requirements

  • At least 2 years of professional software engineering experience focused on backend and distributed systems at scale.
  • Proficiency in Python and willingness to work in other languages.
  • Experience with cloud-native architectures, preferably AWS, and container orchestration such as Kubernetes.
  • Experience with data-driven decision-making and A/B testing, including instrumenting experiments and interpreting results.
  • Ability to design and query relational, analytical, and NoSQL data models, including systems such as Postgres, MySQL, data warehouses, Redis, and vector databases.
  • Familiarity with DevOps practices including CI/CD, monitoring, and alerting for large-scale data and recommendation systems.
  • Track record of owning features end to end, from technical design and implementation through rollout, monitoring, and iteration.
  • Strong technical collaboration and communication skills across ML engineering, software engineering, product, and other teams.
  • Experience experimenting with AI in professional or personal projects and interest in responsible AI tools and workflows.
  • Preferred experience with recommendation systems or adjacent ML-powered features such as ranking, personalization, or search.
  • Preferred experience with Apache Spark or comparable big-data frameworks such as Flink or Beam.
  • Preferred experience integrating ML models into production systems or contributing to ML infrastructure.
  • Preferred experience training and iterating on ranking, prediction, or personalization models.
  • Preferred experience with ML and distributed-compute frameworks such as Ray.
  • Preferred experience partnering with data science or ML teams on feature stores, offline/online parity, model deployment, and monitoring.
  • Background in e-commerce, marketing technology, or consumer personalization is a plus.

Benefits

  • Onsite in Boston, Massachusetts, five days per week.
  • Base salary range of $116,000-$174,000 USD per year.
  • Role may require up to 10% travel for onboarding, client or partner work, team meetings, and industry events.
  • Comprehensive health, welfare, and wellbeing benefits are available based on eligibility.
  • Potential additional compensation may include an annual cash bonus, equity, and sign-on payments.

Salary: $116k - $174k/yr

Klaviyo

Klaviyo (NYSE: KVYO) is the autonomous B2C CRM. Powered by its built-in data platform and AI, Klaviyo combines marketing automation, analytics, and customer service into one unified solution, making it easy for businesses to know their customers and grow faster. Klaviyo (CLAY-vee-oh) helps over 1...

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