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Senior Machine Learning Engineer II

3 hours, 48 minutes ago
United Kingdom
Full-time
Senior
Machine Learning Engineer
Software Development
AWS GCP Java Kubernetes Machine Learning Microservices Python System Design
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 operate backend services for context retrieval and enrichment for AI assistants and agents.
  • Build platform capabilities for storing, searching, and retrieving insights and relevant facts across HubSpot’s GTM data.
  • Develop systems to manage and compress large context, such as long contact histories and high-volume CRM data.
  • Create tooling that helps other engineering teams ship assistants and agents faster through consistent APIs and reusable primitives.
  • Build and maintain evaluation and measurement systems, including offline evals, golden datasets, automated metrics, and human review loops.
  • Collaborate with sister platform teams and downstream product engineering teams to integrate platform capabilities into real product experiences.
  • Own end-to-end delivery across architecture, implementation, observability, performance, reliability, and iteration.

Requirements

  • Strong track record of shipping production backend systems as a senior engineer, with ownership from design to delivery.
  • Professional Java experience building maintainable, testable services in production.
  • Experience implementing ML workflows in production, such as retrieval/ranking pipelines, feature/data pipelines, model or embedding services, or evaluation frameworks.
  • Comfort working with data tooling and data-intensive systems, including large datasets, pipelines, and service integrations.
  • Experience operating software at meaningful scale with high throughput, significant data volume, and performance or reliability constraints.
  • Strong engineering fundamentals in system design, code quality, debugging, observability, and operational excellence.
  • Experience with search, retrieval, relevance, or ranking systems is highly aligned and preferred.
  • Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies is preferred.
  • Familiarity with LLM evaluation patterns, hallucination mitigation, and quality measurement is preferred.
  • Experience with distributed systems, event-driven architectures, or stream processing is preferred.
  • Cloud or platform experience with Kubernetes, AWS, or GCP is preferred.
  • Some Python experience is useful, though it is not the primary language.

Benefits

  • Remote and office-based flexibility with strong emphasis on team connection.
  • Required in-person onboarding at a regional HubSpot office for Engineering hires.
  • Support for accommodation or alternative travel arrangements during the hiring and onboarding process.
  • A company culture centered on ownership, trust, learning fast, and delivering with HEART.
  • Opportunity to work at an AI-powered customer platform with global reach and an award-winning culture.

Interested in this position?

Apply directly on the company website

Apply Now

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