Applied AI Research Intern - Remote

Overview

Articul8 AI is seeking an exceptional Applied AI Researcher Intern to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.

In Short

• Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, 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: Enrolled in a Master's (MSc) or Doctoral (PhD) program focusing on Machine Learning, Deep Learning, Computer Science, Statistics, Mathematics, Engineering, or a closely related discipline.
• Core technical skills: Solid understanding of machine learning algorithms, neural networks, and deep learning techniques. Familiarity with popular frameworks such as PyTorch and/or TensorFlow.
• Mathematics: Strong foundations in algebra, calculus, optimization, graph theory, and numerical methods.
• Deep expertise in at least one GenAI modality (e.g., text, image, audio, etc.).
• Data Wrangling and Preparation: expertise in handling large datasets, data cleaning, normalizing, transforming, and preparing them for model training.
• Model Evaluation and Interpretation: ability to assess model performance, compare different models, interpret results, and identify potential issues.
• Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git).
• Proven track record of publications in top-tier conferences and journals.

Benefits

• Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.
• Experience with cloud computing platforms such as AWS, Azure, or GCP.