Job Description
We’re looking for a Staff Machine Learning Engineer to advance the future of Construction Intelligence. As a member of our AI team, you’ll help deliver the future of our next-generation insights, recommendations, and automated experiences. You will deliver AI capabilities to everyone in construction on a global platform.
As a Staff Machine Learning Engineer, you’ll create prototypes, explore the latest in LLM technologies, and build production-level services. We have a rich dataset of terabytes of data from being the leader in construction management software for over twenty years. This position is a great opportunity to use your machine learning, data engineering, and AWS cloud service skills to enable machine learning as a service at scale at Procore.
This position reports to the Executive Director (India) in the Resource Managementdivision and has the opportunity to work remotely/hybrid from our Bengaluru or Pune office. We’re looking for someone to join our team immediately.
What you’ll do:
What we’re looking for:
Additional Information
Perks & Benefits
At Procore, we invest in our employees and provide a full range of benefits and perks to help you grow and thrive. From generous paid time off and healthcare coverage to career enrichment and development programs, learn more details about what we offer and how we empower you to be your best.
About Us
Procore Technologies is building the software that builds the world. We provide cloud-based construction management software that helps clients more efficiently build skyscrapers, hospitals, retail centers, airports, housing complexes, and more. At Procore, we have worked hard to create and maintain a culture where you can own your work and are encouraged and given resources to try new ideas. Check us out on Glassdoor to see what others are saying about working at Procore.
We are an equal-opportunity employer and welcome builders of all backgrounds. We thrive in a diverse, dynamic, and inclusive environment. We do not tolerate discrimination against employees on the basis of age, color, disability, gender, gender identity or expression, marital status, national origin, political affiliation, race, religion, sexual orientation, veteran status, or any other classification protected by law.
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