Senior Machine Learning Engineer

HubSpot, a market leader in sales and marketing technology, is the preferred platform for scaling businesses. The Finance Data team's Advanced Analytics and Insights (AAI) group is pioneering the use of machine learning, large language models (LLMs), and intelligent agents to unlock high-impact financial insights. As we grow, we're seeking an experienced Senior Machine Learning Engineer to build out the foundational AI and ML systems that support complex AI needs from forecasting, smart insights to finance-focused copilots. As a Senior Machine Learning Engineer (MLE) on the newly formed Finance AAI team, you'll build production-grade machine learning systems, deploy LLM-powered tools, and set up the ML infrastructure that supports financial forecasting, risk analysis, and AI-driven insights.. This is a role for builders: engineers who love solving complex problems and enabling business impact through smart automation. Strong coding skills in Python, ML, Gen-AI domains are very essential. Experience with Java is a strong plus that will help navigate our internal systems. Responsibilities & Role Expectations Collaborate with data scientists to deploy and maintain machine learning models for forecasting, anomaly detection, NLP analysis and customer outcome prediction. Take ownership of the full development lifecycle : including development, CI/CD pipelines, containerization, orchestration, and performance monitoring with tools like MLflow. Build a strong foundation of scalable and reusable infrastructure to support Finance's ML/AI experimentation. Contribute SDKs, APIs, and clear documentation to streamline ML/LLM adoption and provide shared services in line with the Finance AAI's roadmap. Design and implement LLM-driven workflows and autonomous agents tailored to Finance use cases such as narrative generation, AI copilots, and RAG-based insights. Apply techniques like prompt engineering, fine-tuning, and embedding search using open-source libraries including LangChain, Hugging Face, and OpenAI APIs. Confidently validate model performance using standard benchmarks and custom metrics. Champion strong engineering practices through mentorship and technical guidance, ensuring systems are aligned with data governance and regulatory standards. Collaborate with central teams at Hubspot to enable ML/AI best practices Engage in code reviews, testing, and documentation efforts to uphold code quality and maintainability. Mentor junior engineers and data scientists to strengthen their software development skills, optimize algorithms, and stay current with advancements in the field.

HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We're building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.