Staff Machine Learning Engineer

3 weeks ago

Dublin, Dublin City, Ireland HubSpot Full time
Overview

Staff Machine Learning Engineer role at HubSpot. The Signals team is part of the AI Platform Group at HubSpot and delivers predictive data products to product teams across the company, enabling the creation of easy, accurate, and consistent AI features for millions of customers and their customers.

HubSpot is an all-in-one marketing, sales, and service software platform that helps businesses grow and succeed. From marketing automation to CRM, HubSpot offers a comprehensive solution that empowers businesses to succeed in the digital age.

Responsibilities
  • Deliver high-value, cross-team projects and help drive the product vision forward through collaboration and hands-on coding.
  • Stay hands-on in technical work while leading by example with cross-functional and internal stakeholders.
  • Develop solutions with outsized impact on business goals and provide strategic direction for major projects.
  • Mentor and teach engineers in their areas of expertise.
  • Demonstrate pragmatic decision-making and problem-solving abilities.
  • Architect ML solutions across a range of problems and identify where ML can be effective in adjacent surface areas.
  • Analyze models beyond offline and online metrics, considering privacy, bias, security, and maintainability concerns.
  • Build reliable, scalable systems and lead teams beyond the status quo toward a shared vision.
  • Apply deep expertise in Predictive AI concepts (e.g., recommendation systems, classification, ranking, and relevancy) and associated techniques and tools.
  • Embody HubSpot engineering values and contribute to a collaborative, customer-focused culture.
Qualifications
  • Expert understanding of ML techniques (e.g., deep learning, optimization, regression, transformers, large language models, transfer learning) and areas (NLP, RL, classification, recommendations) with tools (scikit-learn, PyTorch, TensorFlow).
  • Proven ability to craft architecture for diverse ML problems and to identify opportunities where ML adds business value.
  • Experience analyzing privacy, bias, security, and maintainability concerns in ML models.
  • Strong track record of leading high-impact, cross-team projects as a senior individual contributor.
  • Excellent collaboration and mentoring skills with the ability to guide teams beyond the status quo.
  • Comfort working in a fast-paced environment and contributing to a shared vision.
About HubSpot and Accessibility

If you need accommodations or assistance due to a disability, please reach out to us using this form.

At HubSpot, we value flexibility and connection. Whether you're remote or office-based, you'll engage with your team and peers to build strong working relationships. If you join the Engineering team, in-person onboarding at a regional HubSpot office is required. If you join the broader Product team, you may attend in-person events such as product groupSummits to continue building connections.

HubSpot is an equal opportunity employer. Mass/EU-specific disclosures and travel accommodations are handled in accordance with local laws. By submitting your application, you agree that HubSpot may collect your personal data for recruiting and related purposes. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.

Job Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Engineering and Information Technology
  • Industries: Software Development

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