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 an AI Researcher who will help translate the latest machine learning research into practical, domain-specific proofs of concept (POCs).Working on the CivCheck platform, you will be at the forefront of building and experimenting with cutting-edge models across computer vision, large language models (LLMs), multi-modal learning, and agentic AI workflows. You’ll bridge the gap between academic innovation and real-world application — reading and implementing research papers, testing emerging architectures, and collaborating with senior ML engineers to turn prototypes into production-ready systems. The ideal candidate has a strong research foundation, enjoys hands-on experimentation, and is eager to see their ideas move from paper to production.
As a AI Researcher at Clariti, you’ll get to :
- Read, interpret, and implement recent ML research papers into functioning prototypes
- Design and Conduct experiments to validate research ideas, define test metrics/ hypotheses, and evaluate model performance
- Apply research to specific computer vision problem domains, tailoring architectures and training strategies for best results on complex unstructured data
- Tailor and apply foundational ML techniques to real-world datasets and use cases
- Collaborate with engineering teams on model deployment, monitoring and enhancement
- Contribute to internal research documentation and share findings with the broader AI team
- Identify and prototype potential improvements to our AI systems based on current literature
- Stay up-to-date on new research, benchmarks, and techniques in computer vision, generative AI, NLP, and multimodal learning
- Participate in team discussions on model evaluation, interpretability, and performance trade-offs
What do you bring to the team? 🧠
- Bachelor's degree or Master’s degree in Computer Science, Mathematics, or a related analytical STEM field with specialization in machine learning
- 1–3 years of hands-on experience in applied ML or research (flexible for strong academic backgrounds)
- Demonstrated experience training and fine-tuning models from scratch using modern frameworks — including defining layer-level architectures, curating & cleaning datasets, tuning training parameters, and monitoring training/validation set performance
- Proficiency in Python and C/C++
- Proficiency with PyTorch, TensorFlow, JAX, or similar deep learning frameworks
- Strong software engineering skills with familiarity with best practices in version control (Git), testing, and modular design
- Experience implementing core computer vision and image processing algorithms, including feature extraction, object detection, segmentation, and geometric transformations
- Strong experimental and statistical intuition; comfortable interpreting complex results
- Excellent communication skills, you can explain research clearly to both technical and non-technical audience
Bonus Points 🎉
- Experience teaching or mentoring machine learning coursework or project-based work
- Experience publishing machine learning research or applied ML work in academic or industry settings
- Experience developing computer vision systems requiring high accuracy and reliability under strict tolerances — for example, in autonomous vehicles or medical imaging applications
- Interest in the ethical implications of AI technology and responsible AI development and design
- Contributions to open-source ML projects or paper reimplementations
- Familiarity with LLMs, diffusion models, model distillation, or multimodal architectures
- Exposure to end-to-end ML workflows, from training to deployment of models, using cloud computing platforms such as AWS, Azure, or GCP
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 $120,000-160,000 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).
Things to Note 📝
Background checks - Because our customers trust us with sensitive information, we require all successful candidates to undergo comprehensive background checks before joining our team. We focus strictly on global sanctions and criminal offences that are directly relevant to employment at Clariti, and follow all applicable privacy and human rights legislation.
Travel- Although we operate as a remote company, all roles are expected to participate in occasional travel for in-person company-wide or departmental meetings, typically 1-2 times per year. Additional travel requirements specific to the role, if any, will be outlined in the job description.
We're committed to building an inclusive culture where our team members take ownership over projects, tasks, and outcomes; bring a growth mindset to drive continuous learning and self-development; have the ability to communicate courageously in a direct but respectful way; and are customer-focused by keeping the customer at the heart of decision-making. It’s the diversity of our team that helps us make better decisions, by leveraging the diversity in thought & experience across to create impactful solutions as we explore new paths & challenges as we grow. We’re working to create a workplace and team that is as diverse as the communities we serve. We welcome and encourage candidates of all backgrounds to apply.
Questions? We are here to help
If you require accommodations in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in our hiring process for any reason, please direct your questions to hr@claritisoftware.com and we’ll be happy to support you.