Staff Software Engineer, MLOps

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job description

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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 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 thrive.

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 :

1. 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.
2. 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.
3. 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.
4. Mentorship and Leadership : Share your knowledge and experience by mentoring engineers, fostering a culture of innovation and continuous improvement.

We are looking for people who :

1. Deliver high-impact projects : You have a proven track record of directly contributing to and leading large-scale, data-intensive AI/ML system projects.
2. 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.
3. Bring industry best practices : Your expertise helps enhance our data infrastructure, applying best practices to improve scalability, performance, and resilience as our business grows.
4. Are 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 understand that the application process can be daunting, 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. 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.

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 , which has more than 5M views, and learn about , 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 to learn more about culture and opportunities at HubSpot.

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