Staff Machine Learning Engineer

Thanks to our employees' feedback, HubSpot has been named the #2 Best Leadership Team in 2023 by Comparably!However you identify or whatever your path here, please apply if you see a position that makes your heart skip a beat. Come join us and help us build a global company where we're all proud to belong.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)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.Apply for This JobIndicates a required field First Name * Last Name * Email * Phone * Resume/CV * Attach , , LinkedIn Profile Do you currently have legal work authorization for the country of the position you are applying for? * Will you, now or in the future, require the support of HubSpot to maintain that authorization? * Were you previously employed at HubSpot Inc or any of its subsidiaries? If Yes, please select which entity below. (Please note this question is only applicable for past employees not current employees)  Voluntary Equal Opportunity Employment * HubSpot, Inc. is an equal opportunity employer. As a federal contractor, we take affirmative action to ensure equal opportunity and all candidates are considered without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, ancestry, physical or mental disability, veteran status, or any other legally protected characteristics.  To assist HubSpot in its commitments and compliance with federal and state record keeping, reporting and other legal requirements, you are invited to provide the following information. In accordance with applicable law, we may also use the information in an aggregated, anonymous form to help us improve diversity at HubSpot. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or affect your candidacy in any way. Any information that you do provide will be recorded and maintained in a confidential file. What is your gender? Location What's the recruiting process like at HubSpot?Thanks to HubSpotters' feedback and reviews over the years, we've been lucky to be named a great place to work globally. 4.6 stars 91% of Employees on Glassdoor Recommend HubSpot #2 Best Place to Work in 2022 by Glassdoor 100 Best Companies to Work For by Great Places to Work Best Workplaces for Millennials by Great Places to Work

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