Machine Learning Scientist

Summary

Join Coalition's growing AI team as a Machine Learning Scientist I and contribute to cutting-edge AI technology, focusing on Large Language Models (LLMs) and Agentic models. This role offers the opportunity to collaborate with experienced professionals, develop intelligent models to address business challenges, and stay updated on advancements in AI research. You will assist in machine learning projects, from data gathering to model evaluation, and design and implement ML pipelines. Effective communication and a collaborative attitude are essential. The position offers a competitive salary, comprehensive benefits, and opportunities for professional growth within a remote-first, mission-driven company.

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 policy
• Annual home office stipend and WeWork access
• Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
• Competitive compensation and opportunity for advancement