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HubSpot

Staff Software Engineer, MLOps (Remote within UK)

Sorry, this job was removed at 04:58 p.m. (GMT) on Tuesday, Oct 08, 2024
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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 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. 

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 be able to excel in their work while also accelerating HubSpot Product & Engineering teams to adopt AI throughout the HubSpot product suite.

The team currently owns many projects that contribute to our data initiatives like our ML Data Lake (on top of Snowflake) that backs all ML use cases in HubSpot and our VectorDB offering (on top of Qdrant) that powers our RAG (Retrieval Augmented Generation) use cases. Because Data is a crucial part of the ML lifecycle one of the next initiatives the team will focus on is making it easy to explore and access data at HubSpot for ML use cases, including streams of work like data cataloging and data availability for training and serving.

Your Role:

  • Lead and Innovate: Drive the development of our machine learning data infrastructure, focusing on enhancing our capabilities in managing and utilizing data effectively. You will lead projects to improve our current platform offering while also leading the next iteration of our ML Data platform.
  • Strategic Direction: As a key member of the ML Data team, you will offer strategic insights and direction to ensure our data management practices meet the evolving needs of our machine learning projects. Your expertise will guide the creation of efficient, scalable solutions that enhance our AI product offerings.
  • Collaborative Problem Solving: Work closely with teams of Machine Learning Engineers and Product Software Engineers to understand their challenges and develop solutions that streamline our data processes. Your role is pivotal in bridging the gap between data management and machine learning, facilitating the efficient development and deployment of AI solutions.
  • Mentorship and Leadership: Share your knowledge and experience by mentoring engineers, fostering a culture of innovation and continuous improvement, embodying our engineering values.

We are looking for people who:

  • Delivers hands-on high-impact projects: You have a proven track record of directly contributing to and leading large-scale, data-intensive AI/ML system projects.
  • Can collaborate/influence across all levels of the organization: Your ability to work effectively across teams ensures that you can influence decisions and drive forward our data strategies.
  • Bring industry best practices: Your expertise helps enhance our data infrastructure, applying best practices to improve scalability, performance, and resilience as our business grows.
  • Is committed to data quality, security, and privacy: You prioritize the integrity and security of data, implementing measures that safeguard information and ensure compliance with data protection regulations.

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.

At HubSpot, we value both flexibility and connection. 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 in a full-time role, 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 HubSpot’s annual PEER week, your Product Group Summit, and other in-person 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. We are committed to supporting candidates who may need alternative arrangements.

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 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 its 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 across the globe work remotely and in HubSpot offices. Visit our careers website to learn more about the 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. 

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