Staff Machine Learning Engineer, Procore
CA$157.2-216.2k
+ Bonus
Office located in University Avenue, Toronto
Construction management platform
Be an early applicant
Construction management platform
1001+ employees
Be an early applicant
CA$157.2-216.2k
+ Bonus
Office located in University Avenue, Toronto
1001+ employees
Company mission
To connect everyone in construction on a global platform.
Role
Who you are
- 5+ years of Python experience focused on scalable, maintainable code
- Experience in training and deploying models using PyTorch and TensorFlow (including YOLOv8-v11, Transformers, Mask R-CNN, DETR, and Swin Transformers)
- Proficient in fine-tuning LLMs, VLMs, and NLP technologies for specialized applications
- Skilled in designing workflows for data collection, annotation, feature engineering, model training, and evaluation
- Proficient in distributed GPU training with CUDA and cuDNN for multi-GPU systems
- Proficient in containerization, microservices, and deployment using Docker, Kubernetes, and cloud platforms like AWS
- Strong knowledge of Ray for distributed execution, ArgoCD for GitOps workflows, and Kubernetes for managing ML applications
- Proficient in Git and building robust CI/CD pipelines to ensure efficient development and deployment
- Experience with monitoring tools like Datadog, New Relic, and Sumo Logic for ensuring system reliability and performance
- Solid understanding of Agile practices with a proven track record of delivering iterative, high-quality results
What the job involves
- We’re looking for a Staff Machine Learning Engineer to join Procore’s AI Studios team
- In this role, you will play a pivotal role in driving AI advancements that revolutionize the construction industry
- 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 Staff Machine Learning Engineer in the Construction Intelligence division, 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 reports to the Director of Machine Learning in the Construction Intelligence division and will be based in our Toronto, ON, Canada office
- Interact with customers directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve them
- 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
Application process
- We’re looking for someone to join us immediately
Our take
Construction tech company Procore offers a cloud-based construction management platform. With substantial productivity gains and cost reductions on the table for construction companies that digitize more efficiently, Procore’s offerings are an attractive prospect for those operating in the industry.
Founded in 2002, Procore now serves over 15,000 businesses, providing a range of products for preconstruction, project management, and resource and financial management. Its platform is built atop multi-zone cloud infrastructure, and is able to house every app, document, and person involved in projects, providing visibility that simplifies processes for everyone involved.
With promising stock performance and a legacy position in the construction tech sector, Procore seems likely to continue a steady upward trajectory in this growing market. The company published its first Environmental, Social and Governance report in 2022, highlighting its commitment to work towards a more sustainable future, and has continued to develop integrations and partnerships to improve its offerings.
Steph
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (last 2 of 11 rounds)
May 2020
$150m
LATE VC
Sep 2019
$94.9m
SERIES I
Total funding: $567.8m
Company benefits
- Comprehensive healthcare benefits, long-term disability, life insurance and other wellness resources
- Values-driven PTO that is based on openness, ownership and optimism – take the time you need when you need it
- Retirement benefits such as a 401k or RRSP with employer contribution (varies by country).
- Employee Stock Purchase Plan for eligible employees
- Employee enrichment program with classes and programs for personal and professional development
- Procore Perks - a reimbursable stipend for purpose-driven goods and services that support work/life well-being and physical and financial wellness
Company HQ
Carpinteria, CA
Leadership
Tooey Courtemanche
(CEO)Worked as a Software Engineer at Skip Steveley & Associates after graduating from the University of Arizona. They were also CEO of Webcage, a software consultancy company.
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