AI Specialist

Role Overview

We are seeking an entry level AI Specialist to join our core AI team. The primary focus will be on analyzing AI models and architectures. You will also help evaluate model behaviors and conceptualize emerging AI technologies.

Key Responsibilities

• Model Analysis & Evaluation: Study, benchmark, and evaluate diverse AI models (potentially including LLMs, diffusion models, and classic machine learning architectures) to understand their emergent behaviors, limitations, and failure modes.
• Architectural Exploration: Research and experiment with novel model architectures, fine-tuning methodologies, and optimization techniques to improve model efficiency and alignment.
• Theoretical Problem Solving: Apply core computer science and mathematical principles to diagnose complex model behaviors, data biases, and generalization challenges.
• Cross-Functional Knowledge Sharing: Act as an internal subject matter expert on AI theory, translating complex academic research into actionable insights for product and engineering teams.

Qualifications & Skills

• Education: Bachelor’s degree in computer science with a formal concentration, minor, or heavy coursework focus in Artificial Intelligence and/or Machine Learning
• Theoretical Foundation: Deep conceptual understanding of core AI pillars, including deep learning, neural network architectures, and search algorithms.
• Mathematical Proficiency: Strong grasp of linear algebra, calculus, probability, and statistics as they relate to machine learning theory and optimization.
• Technical Skills: Proficiency in Python and familiarity with major AI/ML frameworks (such as PyTorch or TensorFlow). Experience reading and implementing concepts from academic AI research papers is a major plus.

Benefits Offered

• Employees of RIAA are eligible for comprehensive healthcare benefits on date of hire or the first of the month following date of hire. These include medical, dental, and vision insurance coverage as well as life, and disability insurance.