Articul8 - Principal AI Researcher
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Requirements
• Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field. • Professional experience: 8+ years of experience as an AI researcher with a track record of applied research and/or product development (out of which, at least 3+ years should be on 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. • A strong background in parallel/distributed computing on the cloud. • 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. • Experience with cloud computing platforms such as AWS, Azure, or GCP. • Proven track record of publications in top-tier conferences and journals. • Professional Attributes: • Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.
Responsibilities
• Serve as the subject matter expert in various domains of GenAI research and development, including: • Data pipelines: Design and optimize data processing workflows for large-scale model training • Training methodologies: Implement pre-training, mid-training, and post-training strategies and optimization techniques • Reinforcement learning: Develop RL algorithms for GenAI and with applications in decision-making, personalization, and several other tasks • Multimodal AI: Create systems that effectively process and generate across text, image, audio, and video modalities • Personalization: Design and implement tailored GenAI experiences by understanding user behavior, preferences, and contexts to deliver customized content and recommendations • Knowledge representation and retrieval: Develop techniques for effectively representation of information and knowledge elicitation, as well as search and retrieval. • Play a technical leadership role in designing, developing, and scaling novel algorithms and models by taking them from research prototypes to production-ready systems that deliver real-world impact • Lead groundbreaking research initiatives in GenAI by identifying high-impact problems, designing innovative experiments, and developing solutions that advance both theoretical understanding and practical applications. • Drive strategic decision-making processes by contributing to technology assessment, roadmap planning, and identifying areas for innovation that align with Articul8's business objectives. • Partner with cross-functional teams to integrate cutting-edge research findings into products and maintain our technological leadership in the market. • Monitor and analyze emerging trends in generative AI and related fields, sharing valuable research contributions through publications at prestigious conferences and journals. • Mentor and guide junior team members and help building a strong culture of rapid innovation. • Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. • Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. • Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. • If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team.
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