CivCheck is transforming how cities manage plan review and building code compliance. As part of Clariti, CivCheck brings together deep domain expertise and cutting-edge AI to streamline and modernize the permitting process. Our Guided AI Plan Review™ (GPR) platform is the first of its kind and it is helping cities and applicants alike navigate complex building codes with clarity, consistency, and speed. By combining intelligent automation with human expertise, CivCheck empowers communities to build faster, safer, and smarter.

How will you help us make an impact? 👩‍💻👨‍💻

We're seeking a Senior AI Researcher who can translate the latest machine learning research into practical, domain-specific solutions in the permitting space. Working on the CivCheck platform, you'll own applied research and experimentation across computer vision, large language models (LLMs), multi-modal learning, and agentic AI workflows.

This is a senior individual-contributor role on a small, fast-moving team - which means you won't be handing prototypes off to a large engineering org. You'll be expected to take your own projects all the way to production, working hands-on with our MLOps tooling and infrastructure. You'll also help define the work itself, turning vague product and business needs into clear research questions, concrete deliverables, and shipped systems.

The ideal candidate has spent years doing applied research in industry settings, is comfortable owning the full lifecycle from idea to deployment, and is energized by hard, open-ended problems in a lean startup environment.

As a Senior AI Researcher at Clariti, you’ll get to :

• Own computer vision and agentic AI problem domains, selecting and adapting architectures and training/fine-tuning strategies for the best results on complex, unstructured real-world data
• Drive the design and execution of experiments end to end, from framing the question to evaluating model performance and deciding what's worth pursuing
• Help shape technical direction by identifying high-impact opportunities to improve our AI systems, drawing on applied experience and practical judgment
• Make pragmatic trade-off calls across model accuracy, interpretability, latency, and cost, and directly own decisions in communication with stakeholders
• Share your experience with research teammates and help raise the bar for experimental rigor in a collaborative environment
• Stay current on techniques, benchmarks, and tooling across computer vision, generative AI, NLP, and multimodal learning — and bring the useful ones into practice

What do you bring to the team? 🧠

• 7–10 years of hands-on experience in applied AI research, with a track record of shipping models and systems that solved real business problems
• Demonstrated experience taking your own projects from research through to production — comfortable working hands-on with MLOps practices and infrastructure (CI/CD for models, containerization, monitoring, etc.) rather than relying on a large engineering team
• A proven ability to operate independently and interface with nontechnical stakeholders – can take vague or under-specified problems and product needs, transforming them into scoped research plans and concrete deliverables
• Deep, demonstrated experience training and fine-tuning models from scratch using modern frameworks — including defining layer-level architectures, curating & cleaning datasets, tuning training parameters, and diagnosing training/validation performance
• Strong proficiency in Python and experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks
• Hands-on experience with end-to-end ML workflows on cloud platforms such as AWS, Azure, or GCP, including deployment and monitoring
• Strong software engineering skills and fluency with version control (Git), testing, and modular design
• Significant experience implementing and improving core computer vision and image processing algorithms, including feature extraction, object detection, segmentation, and geometric transformations
• Experience building agentic AI workflows and hands-on familiarity with LLMs, diffusion models, model distillation, or multimodal architectures in production
• Sharp experimental and statistical intuition; comfortable making decisions from messy, incomplete results and identifying critical vs nice-to-have unknowns for further investigation
• Excellent communication skills — you can align stakeholders, justify trade-offs, and explain research clearly to both technical and non-technical audiences

Bonus Points 🎉

• Experience developing computer vision systems requiring high accuracy and reliability under strict tolerances — for example, in autonomous vehicles, medical imaging, or industrial inspection
• Preference for or comfort thriving in an early-stage or startup environment
• Interest in the ethical implications of AI technology and responsible AI development and design
• Exposure to the construction, building, civic-tech, or regulatory/compliance domains

What’s in it for you?🫵

We invest in and empower our team members with competitive compensation packages, well deserved time off and benefits to keep you and your family healthy! *

💰 The base salary range for this role is expected to be between $165-205k CAD based on the candidate’s skills, experience, and qualifications while considering internal pay equity and our broader pay philosophy. 💰

If you have questions about compensation as we move through the process, we’re happy to discuss further.

*Benefits depend on employment type (full-time, part-time, contract, etc).