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Principal Machine Learning Engineer
Summary by AIEngineer.careers
Principal Machine Learning Engineer is a Machine Learning Engineer role (full-time). with HubSpot. in REMOTE, WORLDWIDE. Compensation shown: $286K–$457K. Imported listing (source: feeny.ai). Apply on the employer's site (feeny.ai).
Imported listing (source: feeny.ai) · Apply on feeny.ai
REMOTE · WORLDWIDE
$286K–$457K
Full-time
PRINCIPAL
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from feeny.ai
HubSpot is building the foundational AI infrastructure behind its next generation of agentic products, including Breeze Engine and the internal Aviator agent framework. As Principal Machine Learning Engineer, you will shape the base layer that product teams build on: agent runtime, evaluation systems, quality signals, model optimization, fine-tuning, and model routing. This is a high-scope infrastructure role where you will help set the technical direction for how HubSpot evaluates, improves, and scales AI agents across the company.
Responsibilities
- Build infrastructure for agent runtime, evaluation, quality measurement, and model optimization
- Create tooling that shows teams where evals are strong, where coverage is missing, and which user questions the system cannot yet handle
- Design signal pipelines that surface user frustration, agent failure states, and quality issues before they appear as CSAT drops
- Help define a HubSpot-specific AI benchmark for evaluating model performance on real HubSpot workloads
- Build systems to evaluate new models across agents, improving product quality, reducing cost, and supporting future model routing
- Make fine-tuning and task-specific optimization more repeatable for HubSpot's AI use cases
Requirements
- Deep experience with production ML, LLM, or AI infrastructure
HubSpot
Cambridge · US · 8882+ employees
HubSpot is a leading agentic customer platform that provides software, support, and services to help businesses grow better. The company offers a suite of integrated products including marketing, sales, customer service, content management, and data operations software.
