Applied AI Researcher

February 28

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Articul8 AI

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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.

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). • Responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data. • Serve as the subject matter expert in various domains such as data pipelines, training and fine-tuning, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques. • Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment. • Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership. • Continuously stay abreast of emerging trends and advancements in GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.

🎯 Requirements

• Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher. • Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud). • Core technical skills: • Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. • Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation. • Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.