Staff Machine Learning Engineer

Procore Technologies, Inc.; Toronto; On-site; CAD 157,000 - 217,000; Full time

Job summary

Procore Technologies is seeking a Staff Machine Learning Engineer to join their AI Studios team in Toronto. This role involves leveraging cutting-edge AI technologies to enhance construction workflows, improve efficiency, and elevate decision-making for teams globally. The ideal candidate will have extensive experience in Python and machine learning, and a passion for innovation in the construction industry.

Benefits

Generous paid time off

Healthcare coverage

Career enrichment programs

Qualifications

• 5+ years of Python experience focused on scalable, maintainable code.
• Experience in training and deploying models using PyTorch and TensorFlow.
• Proficient in fine-tuning LLMs, VLMs, and NLP technologies.

Responsibilities

• Interact with customers to define and implement scalable ML/DL solutions.
• Research, develop, and implement state-of-the-art AI solutions.
• Collaborate with product managers, designers, and engineers.

Skills

Python

Machine Learning

Deep Learning

NLP

Distributed GPU Training

Containerization

CI/CD

Agile Practices

Tools

PyTorch

TensorFlow

Docker

Kubernetes

AWS

Ray

Git

Datadog

New Relic

Job description

Job Description

We’re looking for aStaff Machine Learning Engineerto 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 aStaff Machine Learning Engineerin 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 theDirector of Machine Learningin the Construction Intelligence division and will be based in our Toronto, ON, Canada office. We’re looking for someone to join us immediately.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!

What you’ll do:

• 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 coordinatingwith 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 ideastocustomers, 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:

• 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.

Additional Information

Base Pay Range $157,200 - $216,150. 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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