Senior Machine Learning Engineer, Nova
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Job Description
Senior Machine Learning Engineer building core Machine Learning foundations for Iterable’s AI-powered platform. Collaborating across teams to ensure scalable and reliable AI features.
Responsibilities:
- 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.
Requirements:
- 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.
Benefits:
- 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
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