Staff Machine Learning Engineer

POS-23576

HubSpot is an all-in-one marketing sales and service software platform that helps businesses grow and succeed. With a user-friendly interface and powerful tools HubSpot enables businesses to attract engage and delight customers ultimately driving growth and increasing revenue. From marketing automation to CRM HubSpot offers a comprehensive solution that empowers businesses to succeed in the digital age.

We’re also an organization proud of how we treat our employees and have the awards to show for it. We are building a company future generations can be proud of. A company where everyone is welcome. A company where you can be yourself .

The Predictive Models team is part of the AI Foundations Group at HubSpot and partners closely with the Predictive AI Platform team to deliver the next generation of predictive insights scoring and recommendation models. As a Staff Machine Learning Engineer on the Predictive AI Models team at HubSpot you’ll do many things— and you likely already have experience doing some of them in the past.

We are looking for people who:

• 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 engineering team values

If you are passionate about leveraging machine learning to transform the way businesses interact with their customers in a collaborative work environment come join us in HubSpot AI Group!