Senior Machine Learning Engineer (Nova)

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.

- Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers. - Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns. - Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring. - Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently. - Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics. - Prototype applied ML solutions to validate feasibility before investing in full builds. - Ensure secure, robust handling of data used in ML workflows and retrieval operations. - Collaborate with product, design, and engineering to align ML system design with user experience and product goals. - Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

- 5+ years experience as a Machine Learning Engineer or similar role focused on production systems. - Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits. - Experience with retrieval systems, vector databases, search technologies, or RAG architectures. - Prior work integrating ML or LLM-powered features into production applications. - Understanding of ML evaluation techniques, experimentation design, and failure analysis. - Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity. - Strong communication and collaboration skills in a distributed environment.

- Competitive salaries, meaningful equity, & 401(k) plan - Medical, dental, vision, & life insurance - Balance Days (additional paid holidays) - Fertility & Adoption Assistance - Paid Sabbatical - Flexible PTO - Monthly Employee Wellness allowance - Monthly Professional Development allowance - Pre-tax commuter benefits - Complete laptop workstation

Iterable is an AI-powered customer engagement platform that helps global brands create personalized experiences across every channel to drive growth. It enables marketing teams to respond in real time with a platform that learns, adapts, and improves interactions. The company focuses on enriching relationships between consumers and brands.