Machine Learning Engineer, Procore

• Hands-on experience with model development using PyTorch and TensorFlow, including training and evaluating a variety of architectures such as object detectors, image classifiers, and transformer-based models
• Experienced in prompt engineering and the development of LLM-based solutions, with the ability to design and integrate large language models into machine learning pipelines for practical applications
• Well-versed in the end-to-end design of ML workflows, including data collection, annotation strategies, feature engineering, model training, hyperparameter tuning, and performance evaluation
• Over 3 years of Python development experience, with a strong focus on writing scalable, maintainable, and production-ready code following industry best practices for ML pipeline development
• Skilled in containerization and deployment using Docker, with experience building microservices for ML model inference and integrating them into larger system architectures
• Proficient in version control using Git, with familiarity in maintaining CI/CD pipelines
• Strong understanding of Agile software development methodologies, with a proven ability to deliver high-quality, iterative results in fast-paced, collaborative team environments

Desirable

• As a Machine Learning Engineer in the Construction Intelligence division, you will play a pivotal role in driving AI advancements that revolutionize the construction industry
• Your contributions will enable smarter workflows, improve efficiency, and elevate decision-making processes for construction teams globally
• This is an exciting opportunity to work on impactful projects, leveraging state-of-the-art AI technologies to tackle some of the industry’s biggest challenges
• This position is part of Procore's AI Studios and reports to the Director of Machine Learning in the Construction Intelligence division
• We’re looking for someone to join us immediately
• Research, develop, and implement the state-of-the-art solutions in AI and ML to develop and deploy scalable solutions into production
• Collaborating and coordinating with people in a range of roles, including product managers, designers, engineers, and other key product stakeholders to define requirements, scope, and architecture for new features and enhancements
• Pushing forward what we’re doing with AI technology – not just executing but helping to discover and keep Procore on the leading edge
• Being an excellent communicator and sharing knowledge by clearly articulating results and ideas to customers, managers, and key decision makers
• Foster a healthy and inclusive team environment, provide technical guidance to other engineers, and act as a mentor