Machine Learning Scientist

Summary

Join Coalition, a leading Active Insurance provider, as a Machine Learning Scientist I and contribute to our innovative AI team. This role focuses on Large Language Models (LLMs) and Agentic models, pushing the boundaries of AI technology. You will collaborate with experienced professionals to develop and improve intelligent models that address critical business challenges. This position offers the chance to work on cutting-edge AI initiatives and contribute to a culture of learning and continuous improvement. The ideal candidate possesses a strong background in machine learning, proficiency in Python and SQL, and excellent communication skills. Coalition provides a remote-first work environment with competitive compensation and comprehensive benefits.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Basic experience with deep learning frameworks, such as PyTorch or TensorFlow, and their application in LLMs
• Experience with cloud platforms like AWS
• Interest or coursework in AI applications within industries such as Insurance or Fintech
• Experience with DBT, Airflow or similar analytics workflow tools is a big plus

Benefits

• 100% medical, dental, and vision coverage
• Flexible PTO
• Annual home office stipend and WeWork access
• Mental & physical health wellness programs like Headspace, Lumino, and more!
• Competitive compensation and opportunity for advancement