Staff Machine Learning Engineer

. 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!

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply - we'd love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us using this form . This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here .

About HubSpot

HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers' needs at any stage of growth. We're also building a company culture that empowers people to do their best work. If that sounds like something you'd like to be part of, we'd love to hear from you.

You can find out more about our company culture in the HubSpot Culture Code , which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace , too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.

Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.

By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot's use of your personal information.