AI Researcher

November 15

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Clariti

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Government • Enterprise • Software

Clariti is a provider of community development solutions, offering permitting software tailored to governments of all sizes. Their range of products includes solutions for large governments with complex requirements as well as smaller municipalities in need of quick and easy-to-manage systems. Clariti's products are designed with flexibility, allowing users to customize and adjust without deep IT knowledge. They emphasize functionality and support, ensuring that local governments can efficiently serve their communities. Clariti's clientele includes leading governments across North America, demonstrating their capability to deliver robust and reliable permitting systems.

51 - 200 employees

🏛️ Government

🏢 Enterprise

📋 Description

• Help translate the latest machine learning research into practical, domain-specific proofs of concept (POCs) • Work on the CivCheck platform, building and experimenting with cutting-edge models across computer vision, large language models (LLMs), multi-modal learning, and agentic AI workflows • 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 • 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

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive compensation packages • Well-deserved time off • Health benefits to keep you and your family healthy