At Augmenta, we are creating an Artificial Intelligence capable of automating the design of buildings - completely transforming the industry and empowering architects, engineers, contractors and developers. We’re a global team, headquartered in Toronto, Canada with a team of brilliant, kind and collaborative scientists, engineers and designers, working at the bleeding edge of technology to tackle the immense challenges of the built environment. We are spread across Canada, the US, and Italy, making our workplace a remote-first and distributed environment.

The role

We’re looking for a Principal Applied Scientist to lead our Machine Learning research and advance the state of the art of Artificial Intelligence applied to the built environment. The ideal candidate will have experience with leading research in applications of AI in Architecture, Engineering, Construction or similar fields involving computer vision, graph learning, robotics, planning. You will work closely with the technical and product leadership to conduct AI research targeting problems in design automation for construction. This role reports to the VP of Engineering.

What you will do

You’ll be leading the effort to tackle extreme-scale problems by discovering and adopting using state-of-the-art Artificial Intelligence methods, including:

• Develop generative systems to create and augment our synthetic data repositories for buildings and building systems
• Research and experiment with foundation semantic models for buildings and their applications for generative design
• Research and develop AI-assisted large-scale mathematical optimization and combinatorial search methods
• Research and develop AI-assisted physics simulation models
• Collaborate with our engineering team to bring research to full fruition in our generative platform
• Aim to publish results of the research at world-class conferences to participate in the worldwide scientific community and establish Augmenta as the leader in Artificial Intelligence for the built environment

About you

• Visible records of research in the topics above, through a combination of publications and developed/deployed applications and/or prototypes
• Experience leading a research agenda aligned with larger organization or company goals
• Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc.
• Strong familiarity with 2D and 3D geometry processing
• Experience bringing a machine learning research concept through the full ML development cycle
• Excellent problem-solving skills and the ability to work independently as well as in a team environment
• Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment

Nice to have

These are the things you’re likely to work on, so if you have any experience in the following, great! If you don’t have experience in the following, we still encourage you to apply.

• Prior experience with end-to-end research to application deployment and maintenance
• PhD in Computer Science, Computer Engineering, Mathematics, Physics or related field
• Familiarity with Building Information Modeling and relative authoring environments (e.g. Autodesk Revit) and data formats (e.g. IFC)
• Familiarity with fundamental Modeling & Simulation principles and methods
• Mathematical optimization methods
• Numerical methods for solving partial differential equations problems
• Interactive 3D graphics and data visualization
• Distributed computing
• GPU acceleration of numerical algorithms using CUDA/OpenCL

Our Team and Perks

• We are an open, collaborative, and supportive culture including skill shares, design critiques, and a bi-weekly reading group
• We believe that employees should be owners, which is why we provide stock option grants for full time employees
• We believe in support the health and wellbeing of our team, which is why we offer a competitive health benefits package
• We believe in balance and taking time to rest and recharge, which is why we offer 4 weeks vacation to all full-time employees plus an extra week off at the end of December.
• As a remote-first team, we believe in the importance of having the right set up, which is why we offer a home office budget
• Learning and development is critical to us, which is why we have a self-directed learning budget

Our location

Our team is remote-first and fully distributed! We have team members across Canada, the US, Italy, and other locations around the world. This means that we often collaborate asynchronously via Slack and Video Conferencing.

Here's how to apply

Please send your resume and a cover letter to careers@augmenta.ai with “Principal Artificial Intelligence Scientist” in the subject line. Please also indicate where you saw this job posting.

Our Hiring Process

Discover: You discover the opportunity and apply to the role

Talk: You take part in a 30-45 minute screening call with the Hiring Manager to chat about the role and the team.

Meet your team: You have a video call with a few other Augmenta team members.

Offer: You receive an offer to join Augmenta!

Accommodations and Accessibility

Inclusion and equity are the cornerstones of how we recruit, hire, and develop talent. We encourage applications from all candidates, especially those who identify as members of the BIPOC community, LGBTQ++ community, women, caregivers, immigrants, and people living with disabilities. We encourage candidates to include any accommodations you require in your application. We look forward to hearing from you.