Staff Machine Learning Engineer

OverviewJoin to apply for theStaff Machine Learning Engineerrole atHubSpotHubSpot is an all-in-one marketing, sales, and service software platform that helps businesses grow and succeed.The Signals team is part of the AI Platform Group at HubSpot and delivers predictive data products to product teams across the company, enabling them to create easy, accurate, and consistent AI features for our millions of customers and their customers.As a Staff Machine Learning Engineer on the Signals team at HubSpot, you'll do many things— and you likely already have experience doing some of them in the past.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 GroupWe know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don't hesitate to apply — we'd love to hear from you.ResponsibilitiesHave 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.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; lead 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.QualificationsStrong track record delivering high-value ML projects across teams.Hands-on engineer with collaboration across stakeholders and mentorship experience.Experience with a broad set of ML techniques and tools (e.g., deep learning, NLP, RL, classification, recommendations; sklearn, pytorch, tensorflow).Ability to design scalable ML architectures aligned with business goals.Additional InformationMassachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.An employer who violates this law shall be subject to criminal penalties and civil liability.Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.India Applicants: link to HubSpot India's equal opportunity policy here.About HubSpot: HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service.HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.#J-*****-Ljbffr