Senior Machine Learning Engineer (Nova)
Core
Build core Machine Learning foundations for Nova's agentic experiences, focusing on retrieval systems, evaluation frameworks, and model integration layers to enable reliable, scalable AI features.
Role type
Senior Machine Learning Engineer (Agentic Systems & RAG)
Builds
Production ML platform components, retrieval pipelines, indexing strategies, and reusable tooling for LLM-powered experiences.
Domain
AI/ML, Customer Engagement Platforms, Agentic Systems
Deliverable
production ML models
Required skills
Python, TypeScript, Retrieval systems, Vector databases, RAG architectures, ML evaluation techniques, System design, Production ML integration
Preferred skills
ML/LLM platform development, Embeddings, Search–ranking systems, Event-driven systems, Model observability, Personalization/NLP
Technologies
Mastra, TypeScript, Python
Responsibilities
Design and build ML platform components for agentic systems; Operationalize RAG use cases from data sourcing to runtime retrieval; Develop generalized evaluation frameworks for LLM features; Implement abstractions and tooling for other teams; Partner with backend engineers to productionize ML features; Prototype applied ML solutions; Ensure secure data handling in ML workflows; Collaborate on Nova agent framework improvements.
Seniority
Senior, hands-on IC