
Artificial Intelligence • SaaS • Enterprise
Articul8 AI is a company specializing in a GenAI platform designed to simplify and enhance the process of building sophisticated enterprise AI applications. The platform offers features such as autonomous decision-making, automated data intelligence, and a growing library of specialized models. It aims to improve accuracy and precision while ensuring 100% traceability and auditability. Articul8 provides tools for data ingestion, annotation, curation, and management, which help create high-quality datasets for multimodal and domain-specific AI models. Their solutions are engineered for regulated industries and can be deployed securely anywhere. Articul8 AI supports efficiency in knowledge discovery and offers platforms that scale effortlessly, adapt to changing datasets, and retain flexibility to avoid vendor lock-in.
September 4

Artificial Intelligence • SaaS • Enterprise
Articul8 AI is a company specializing in a GenAI platform designed to simplify and enhance the process of building sophisticated enterprise AI applications. The platform offers features such as autonomous decision-making, automated data intelligence, and a growing library of specialized models. It aims to improve accuracy and precision while ensuring 100% traceability and auditability. Articul8 provides tools for data ingestion, annotation, curation, and management, which help create high-quality datasets for multimodal and domain-specific AI models. Their solutions are engineered for regulated industries and can be deployed securely anywhere. Articul8 AI supports efficiency in knowledge discovery and offers platforms that scale effortlessly, adapt to changing datasets, and retain flexibility to avoid vendor lock-in.
• Serve as the subject matter expert in GenAI research domains: data pipelines, training methodologies, reinforcement learning, multimodal AI, personalization, and knowledge representation/retrieval • Design and optimize data processing workflows for large-scale model training • Implement pre-training, mid-training, and post-training strategies and optimization techniques • Develop reinforcement learning algorithms for GenAI applications in decision-making and personalization • Create multimodal systems that process and generate across text, image, audio, and video modalities • Design and implement personalization to deliver tailored GenAI experiences • Develop techniques for effective knowledge representation, elicitation, search, and retrieval • Play a technical leadership role to take novel algorithms from research prototypes to production-ready systems • Partner with cross-functional teams to integrate research findings into products • Monitor and analyze emerging trends in generative AI and publish research contributions
• PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field • 5+ years of experience as an AI researcher • At least 2+ years actively developing GenAI technologies • Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments • Strong background in parallel/distributed computing on the cloud • Expertise in machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation • Proficiency in Python and experience with version control systems (e.g., Git) • Experience with reinforcement learning, multimodal systems, personalization, and knowledge representation and retrieval • Preferred: experience with cloud platforms such as AWS, Azure, or GCP • Preferred: proven track record of publications in top-tier conferences and journals • Professional attributes: problem solving; collaboration and communication; critical thinking; curiosity and continuous learning; emotional intelligence and intellectual humility
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