Job Location : all cities,AR, USA
Job Description
We're looking for a Director, Machine Learning to join Procore's Enterprise AI/ML org. We are seeking a visionary and experienced leader to lead our Machine Learning Engineering and Applied Science team. You will be responsible for building and scaling a high-performing team of ML engineers and scientists who design, develop, and deploy impactful machine learning (ML) solutions. You will have a deep understanding of ML, Generative AI, and the ML engineering lifecycle and possess the strategic and technical expertise to define the team's roadmap, architecture, and best practices. This position reports into VP, Enterprise AI/ML.
What you'll do:
What we're looking for:
Base Pay Range $230,280 - $316,635. Eligible for Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation, and has provided an estimated pay range for this role. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location.
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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