Staff ML Engineer
New Yesterday
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.
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.
Provide strategic direction for major projects.
Expert understanding of a range of ML techniques (e.g., deep learning, optimization, regression, transformers, large language models, transfer learning 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. Exhibit an enthusiasm for building reliable, scalable systems.
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!
If you need accommodations or assistance due to a disability, please reach out to us using this form.
Whether you're a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you'll also attend other in-person events such as your Product Group Summit and other gatherings to continue building on those connections.
If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
India Applicants: link to HubSpot India's equal opportunity policy here.
HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. We're building a company where people can do their best work. 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.
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights. #
- Location:
- London
- Job Type:
- FullTime
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