Senior Machine Learning Engineer (Nova)

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. Strong communication and collaboration skills in a distributed environment.

Design and build Machine Learning platform components for agentic systems, including retrieval pipelines, indexing strategies, and model integration layers. Introduce and operationalize RAG use cases. Develop generalized evaluation frameworks for LLM- and agent-based features. Implement abstractions, tooling, and reusable patterns for ML/LLM-powered experiences. Partner with backend engineers to productionize ML features with reliability, observability, and performance. Prototype applied ML solutions. Ensure secure, robust handling of data for ML workflows and retrieval operations. Collaborate with product, design, and engineering on ML system design. Contribute to iterative improvements of the Nova agent framework.