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A leading CRM platform is seeking a Staff Software Engineer specializing in MLOps to enhance machine learning operations and develop robust data infrastructure. The ideal candidate will have a strong background in AI/ML projects and a commitment to delivering collaborative, high-impact solutions.
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HubSpot, Inc
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f6d57849f733
06.08.2025
HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our MLOps Group is at the heart of this initiative.
We’re also an organization proud of how we treat our employees, and have to show for it. We are building a company future generations can be proud of. A company where everyone is welcome.
We are seeking a Staff level Software Engineer with a passion for machine learning operations and data engineering to join our ML Data team. The ML Data team is part of the MLOps Group and its goal is to provide infrastructure and tooling to Machine Learning Engineers to excel in their work while also accelerating HubSpot Product & Engineering teams to adopt AI throughout the HubSpot product suite.
The team currently owns projects like our ML Data Lake (on Snowflake) supporting all ML use cases in HubSpot and our VectorDB (on Qdrant) powering RAG use cases. Next initiatives include making data exploration and access easier for ML, including data cataloging and availability for training and deployment.
We encourage all qualified candidates to apply. If you need accommodations due to a disability, please contact us. This info is confidential and used solely for interview accommodations.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page.
About HubSpot:
HubSpot (NYSE: HUBS) is a leading CRM platform providing software and support to help businesses grow. We build marketing, sales, service, and website products that scale with our customers' needs. We foster a culture that empowers employees. Interested in joining us? We’d love to hear from you.
Learn more about our culture and opportunities at HubSpot. By applying, you agree that HubSpot may process your personal data for recruiting and organizational purposes, as detailed in our privacy policy.