Machine Learning Engineer

Toronto, ON, Canada

Procore Technologies

Die All-in-One-Software für das Baumanagement, die Ihnen hilft, hochwertige Projekte zu realisieren—sicher, pünktlich und im Rahmen des Budgets.

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Job Description

Procore is the leading construction management platform, empowering teams to seamlessly connect field and office operations. Trusted by thousands of construction professionals worldwide, Procore sets the standard for innovation and excellence in the industry.

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.

We believe in extreme passion and relentless drive to do our best work every single day. Procorians are resilient, self-motivated, and selfless. If this resonates with you, please consider applying today!

This position is part of Procore's AI Studios and reports to the Director of Machine Learning in the Construction Intelligence division. It will be based in our Toronto, ON, Canada office. We’re looking for someone to join us immediately.

What you’ll do:

  • 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.

What we’re looking for:

  • 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.

Preferred Qualifications:

  • Experience deploying machine learning services using Helm and Kubernetes, including writing and managing Helm charts for scalable, maintainable, and version-controlled deployments in cloud-native environments.
  • Familiarity with distributed computing frameworks such as Ray (or similar orchestration tools), with the ability to design, schedule, and manage parallel ML workloads and pipelines across multiple nodes or containers.

Additional Information

Base Pay Range $111,680 - $153,560. 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 dynamic and inclusive environment. We do not tolerate discrimination against candidates or employees on the basis of gender, sex, national origin, civil status, family status, sexual orientation, religion, age, disability, race, traveler community, status as a protected veteran or any other classification protected by law.

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Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact our benefits team here to discuss reasonable accommodations.

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Tags: Agile Architecture CI/CD Classification Docker Engineering Feature engineering Git Helm Kubernetes LLMs Machine Learning Microservices ML models Model inference Model training Pipelines Prompt engineering Python PyTorch Research TensorFlow

Perks/benefits: Career development Competitive pay

Region: North America
Country: Canada

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