Machine Learning Scientist, Coalition

• Bachelor's degree in a quantitative or computational field (e.g., Computer Science, Data Science, Statistics) or equivalent practical experience
• Familiarity with machine learning methods and basic statistical analysis techniques
• Exposure to neural networks and deep learning technologies, including some understanding of LLMs and agentic models
• Proficiency in Python and a basic understanding of SQL
• Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude
• Strong communication skills with the ability to articulate technical concepts to both technical and non-technical audiences

Desirable

• Coalition is seeking a motivated and enthusiastic Machine Learning Scientist I to join our growing AI team
• This position offers an exciting opportunity to work on the forefront of AI technology, specifically focusing on Large Language Models (LLMs), Agentic models, and other cutting-edge developments in machine learning
• You'll collaborate with experienced ML scientists and engineers to develop and enhance intelligent models that address our business challenges, contributing to AI-driven initiatives
• Assist in the development and execution of machine learning projects, from data gathering and analysis to model prototyping and evaluation
• Support the design and implementation of ML pipelines with a focus on LLMs and agentic models for tasks such as data preprocessing, feature engineering, and model training
• Stay updated with recent advancements in AI research, particularly in LLMs and agentic models, and explore their application within our projects
• Communicate your learning and progress effectively, seeking guidance to enhance your skills and understanding in these advanced areas
• Contribute to fostering a culture of learning and continuous improvement by sharing insights around cutting-edge AI technologies with the team