Location: Remote (United States)

About SubBase

SubBase is an early-stage, venture-backed, rapidly growing construction tech company dedicated to solving the complex problems of construction material management. Today, hundreds of billions of dollars of construction materials are ordered in the most disparate and analog way. Labor is scarce, and proper workflow tools leveraging the best-in-class technology for both sides of the market are required to keep up with the pace and growth of the built world.

Our platform is built by real construction experts leveraging the latest technology to provide an intuitive, user-friendly experience that simplifies the entire process of managing construction materials. We aim to help both sides of this massive market increase efficiency, reduce cost, and improve their bottom line by streamlining their material management workflow. We currently have many contractors and vendors procuring hundreds of millions of dollars in construction materials annually through the platform.

Role:

We are seeking an experienced Lead Applied Machine Learning Engineer to lead the development and integration of AI-driven solutions within our platform. This role involves leveraging existing AI models and creating custom algorithms to optimize procurement processes, enhance decision-making, and deliver actionable insights for our users.

Key Responsibilities:

• Design, develop, and deploy machine learning models tailored to solving challenges faced by many players within the construction industry.
• Work closely with cross-functional teams, including product managers, software engineers, and domain experts, to align AI solutions with business objectives.
• Implement monitoring systems to evaluate model performance, ensuring accuracy, reliability, and impact towards business objectives
• Utilize APIs from providers like OpenAI and Google Gemini to incorporate advanced AI capabilities into our platform.
• Build and maintain robust data pipelines to support model training and real-time analytics.
• Stay abreast of the latest developments in AI and machine learning to continuously enhance our platform’s capabilities.

Who you are:

• 6+ years in machine learning engineering, with a proven track record of building and deploying models in production environments.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Key Skills:

• Proficiency in programming languages such as Ruby and Python.