Staff Machine Learning Engineer

Summary

Join HubSpot's Signals team as a Staff Machine Learning Engineer and contribute to the development of predictive data products. Leverage your expertise in machine learning to build reliable, scalable systems and mentor other engineers. You will provide strategic direction for major projects, collaborate with cross-functional stakeholders, and ensure the development of high-impact solutions. The ideal candidate possesses deep expertise in predictive AI and a proven track record of delivering high-value projects. This role requires expert understanding of various ML techniques, tools, and areas, along with the ability to craft the right architecture for diverse ML problems. You will analyze privacy, bias, security, and maintainability concerns of developed models.

Requirements

• 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
• Exhibit an enthusiasm for building reliable, scalable systems
• 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 engineering team values
• Have a long track record of experience delivering high-value, high-impact, cross-team projects

Responsibilities

• Deliver high-value, high-impact, cross-team projects
• Stay hands-on in all technical aspects while leading by example through collaborations with cross-functional and internal stakeholders
• Develop 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
• Your analysis expands beyond offline and online metrics. They analyze privacy, bias, security and maintainability concerns of models developed by their team