Our mission at HubSpot is to help millions of organizations grow better. We’re looking to hire a Machine Learning Engineer to join our Data & Systems Intelligence (DSI) team. As a Machine Learning Engineer, you’ll build machine learning systems that directly support how HubSpot goes to market. Your work will influence forecasting, prioritization, and strategic decision-making across GTM teams, with a strong focus on real-world impact and reliability.
Requirements
- Design, build, and deploy ML- and LLM-powered systems, including predictive models, retrieval-augmented generation (RAG) pipelines, and agentic workflows that support GTM decision-making and execution.
- Work closely with Sales and Customer Success leaders to translate business questions into ML/AI-powered solutions that drive measurable outcomes.
- Apply LLM evaluation techniques (offline evals, golden datasets, human review, and automated metrics) to ensure quality, safety, and business relevance.
- Build and maintain LLM infrastructure, including vector stores, embedding pipelines, inference services, and evaluation tooling.
- Partner day-to-day with Data Scientists to productionize models, experiments, and analyses into robust, maintainable systems.
- Own the end-to-end lifecycle for both classical ML and LLM-based systems, including prompt management, retrieval strategies, tool orchestration, deployment, monitoring, and iteration.
- Build and maintain ML pipelines, LLM infrastructure, and tooling that prioritize reliability, performance, and ease of iteration.
- Apply techniques such as supervised learning, time-series forecasting, and experimentation to high-impact GTM and operations use cases.
- Monitor ML and LLM systems in production, identifying performance drift, bias, or degradation and working with Data Scientists to address issues.
- Champion strong MLOps, LLMOps, and AgentOps practices, including reproducibility, observability, documentation, and responsible model usage.
- Contribute to shared technical standards and best practices across DSI, Analytics, and GTM-facing data teams.
Benefits
- Competitive salary
- Equity
- Flexible work arrangement
- Opportunities for professional growth and development
