AI Researcher, Clariti

• The ideal candidate has a strong research foundation, enjoys hands-on experimentation, and is eager to see their ideas move from paper to production
• 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

Desirable

• 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
• 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
• 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

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