Procore Technologies

Machine Learning Engineer

Toronto, Ontario, Canada

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Construction Management PlatformIndustries

Requirements

Candidates should possess over 3 years of Python development experience, focusing on writing scalable and maintainable code following industry best practices for ML pipeline development. They should have hands-on experience with model development using PyTorch and TensorFlow, including training and evaluating various architectures such as object detectors, image classifiers, and transformer-based models. Experience with prompt engineering and the development of LLM-based solutions, integrating large language models into machine learning pipelines, is also required.

Responsibilities

The Machine Learning Engineer will research, develop, and implement state-of-the-art AI and ML solutions for Procore, deploying scalable solutions into production. They will collaborate with product managers, designers, and other stakeholders to define requirements and scope for new features and enhancements, pushing Procore to remain at the forefront of AI technology. The role involves fostering a healthy team environment, providing technical guidance, and acting as a mentor while effectively communicating results and ideas to customers and decision-makers.

Skills

Python
PyTorch
TensorFlow
Object Detection
Image Classification
Transformer Models
Prompt Engineering
LLM Development
Data Collection
Annotation Strategies
Feature Engineering
Model Training
Hyperparameter Tuning
Performance Evaluation
Docker
Model Deployment

Procore Technologies

Construction management software for project efficiency

About Procore Technologies

Procore Technologies provides construction management software that helps streamline and improve the efficiency of construction projects. Its platform includes a variety of tools that assist with different stages of construction, such as prequalification, bid management, estimating, quality and safety management, design coordination, and Building Information Modeling (BIM). This software allows construction teams to enhance communication and visibility between field and office operations, which helps ensure projects are completed on time and within budget. Procore stands out from its competitors by offering a comprehensive all-in-one solution and personalized support services, including training and resources tailored to the specific needs of different clients. The company's goal is to be a trusted partner for construction professionals worldwide, enabling them to successfully manage their projects and adapt to industry trends.

Key Metrics

Carpinteria, CaliforniaHeadquarters
2003Year Founded
$552.3MTotal Funding
IPOCompany Stage
Industrial & Manufacturing, Enterprise SoftwareIndustries
1,001-5,000Employees

Benefits

Hybrid Work Options
Professional Development Budget

Risks

Increased competition from new entrants like OpenSpace could challenge Procore's market position.
Dependency on FYLD integration may pose risks if FYLD's platform encounters issues.
Adoption challenges or technical issues with Procore AI Solutions could impact user satisfaction.

Differentiation

Procore offers a comprehensive suite covering all construction stages, from preconstruction to closeout.
The platform integrates BIM and AI solutions, enhancing project management and safety.
Procore's global reach with over 1,000,000 projects in 125 countries sets it apart.

Upsides

Procore's AI solutions aim to boost efficiency and safety in construction management.
The FYLD integration resulted in a 12% productivity gain, enhancing field-office connectivity.
Investment by LMR Partners LLP indicates strong confidence in Procore's growth potential.

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