Staff Machine Learning Engineer (Remote within Ireland)

• Have a long track record of experience delivering high-value, high-impact, cross-team projects. Staff MLEs are one of the most senior individual contributors at HubSpot; they are leaders that continually strive to raise the bar for the engineering organization as a whole, and are expected to help drive the product vision forward via strong collaboration skills and hands-on coding.
• Wish to stay hands-on in all technical aspects while leading by example through collaborations with cross-functional and internal stakeholders.
• Have a history of developing solutions to problems that have had an outsized impact on a large organization's business goals.
• Provide strategic direction for major projects.
• Regularly mentor and teach engineers in their areas of expertise.
• Demonstrate pragmatic decision-making and problem-solving abilities.
• Have expert understanding of a range of ML techniques (e.g., deep learning, optimization, regression, transformers, large language models, transfer learning etc.), areas (e.g. NLP, RL, classification, recommendations, etc.), and tools (sklearn, pytorch, tensorflow, etc.).
• Expert in crafting the right architecture for a variety of ML problems from business requirements often identifying where ML solution can be effective in adjacent surface areas
• Your analysis expands beyond offline and online metrics. They analyze privacy, bias, security and maintainability concerns of models developed by their team
• Exhibit an enthusiasm for building reliable, scalable systems.
• Can guide teams beyond the status quo; we need engineers who lead us beyond what we have, and towards what we can build, while building a shared notion of how to get there.
• Deep expertise in the machine learning concepts behind Predictive AI (such as recommendation algorithms/systems, binary and multiclass classification, ranking and relevancy)
• Embodies our

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