Senior AI Researcher

About this role

Join our mission to provide governments with exceptional experiences so they can do the same for their communities!

What do we do?💥

We empower governments to deliver exceptional citizen experiences.

Check out our ‘About Us’ page for a deep dive into our product and what makes us exceptional.

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…