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Senior Machine Learning Engineer

1 hour, 59 minutes ago
Ireland
Full-time
Senior
Machine Learning Engineer
Software Development
AWS GCP Generative AI Java Kubernetes LLM Machine Learning MLOps Python PyTorch Scikit-learn SQL TensorFlow
Apply Now
HubSpot

HubSpot

HubSpot provides a comprehensive cloud-based CRM platform that integrates marketing, sales, service, and operations tools to help businesses attract, engage, and delight customers effectively.

Media
5K-10K
Founded 2006
View All Jobs 154

Description

  • Design, build, and deploy ML and LLM-powered systems, including predictive models, RAG pipelines, and agentic workflows.
  • Partner with Sales and Customer Success leaders to translate business questions into ML and AI solutions with measurable impact.
  • Apply LLM evaluation methods such as offline evaluations, golden datasets, human review, and automated metrics.
  • Build and maintain LLM infrastructure, including vector stores, embedding pipelines, inference services, and evaluation tooling.
  • Work day-to-day with Data Scientists to productionize models, experiments, and analyses into maintainable systems.
  • Own the end-to-end lifecycle of classical ML and LLM-based systems, including prompting, retrieval, orchestration, deployment, monitoring, and iteration.
  • Develop and maintain ML pipelines and tooling that emphasize reliability, performance, and ease of iteration.
  • Monitor production ML and LLM systems for drift, bias, degradation, and other performance issues.
  • Champion MLOps, LLMOps, and AgentOps best practices, including reproducibility, observability, documentation, and responsible use.
  • Contribute to shared technical standards and best practices across DSI, Analytics, and GTM-facing data teams.

Requirements

  • Professional experience building and deploying machine learning models in production environments.
  • Strong software engineering skills, with proficiency in Python and clean, testable, maintainable code.
  • Experience working with large datasets and data pipelines using SQL and modern data platforms.
  • Hands-on experience with ML frameworks and libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Experience collaborating with Data Scientists to operationalize models and experiments.
  • Ability to partner with non-technical stakeholders, including Sales and Customer Success leaders.
  • Experience supporting classical ML and LLM or generative AI systems in production, including RAG architectures, prompt engineering, LLM evaluation frameworks, and inference optimization.
  • Experience building or operating agentic systems that combine LLMs with tools, APIs, workflows, or decision logic.
  • Operational fluency in Java.
  • Preferred experience supporting go-to-market, revenue, or customer-focused teams with data or ML solutions.
  • Preferred exposure to time-series forecasting, optimization, or causal inference.
  • Preferred experience with cloud platforms and ML infrastructure such as AWS, GCP, or Kubernetes.
  • Preferred familiarity with responsible AI practices, including bias detection and governance.
  • Preferred familiarity with responsible generative AI practices, including prompt safety, hallucination mitigation, and human-in-the-loop review.

Benefits

  • Flexible work options with support for both remote and office-based employees.
  • In-person onboarding and team connection opportunities for Engineering and Product team members.
  • Accommodation support for candidates with disabilities or travel limitations during the hiring process.
  • Access to HubSpot’s globally recognized culture and employee experience.

Interested in this position?

Apply directly on the company website

Apply Now

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