Staff Software Engineer - MLOps

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.