Machine Learning Engineer I at Scowtt in Seattle, WA

Summary: Scowtt is an early-stage startup focused on transforming lead conversion through AI/ML marketing optimization. They are seeking a motivated, entry-level Machine Learning Engineer to assist in building, training, and deploying ML models for their Marketing AI and AI Sales Agent products. Responsibilities: - Assist in training, evaluating, and deploying ML models - Work with structured and behavioral data used in marketing and sales systems - Help automate and maintain data and ML pipelines - Collaborate with engineers to integrate ML models into AI agents - Debug, optimize, and improve model and pipeline performance - Learn how ML systems operate in real production environments (cloud, monitoring, iteration) Required Qualifications: - Bachelor's degree in Computer Science, ML, Data Science, or equivalent - 1-3 years of experience in data structures, algorithms - 1-3 years of experience with machine learning concepts and workflows - 1-3 years of experience in coding using Python with demonstrated strong coding skills Preferred Qualifications: - Exposure to ML frameworks through coursework, projects, or internships - Curiosity, ownership mindset, and eagerness to learn - Hands-on project or internship experience with real datasets - Exposure to cloud platforms (GCP or AWS) - Familiarity with tools like BigQuery, notebooks, or basic data pipelines Required Skills: Machine Learning, Python Important Skills: Data Structures, Algorithms Nice-to-Have Skills: Cloud Platforms, ML Frameworks, Data Pipelines, Curiosity, Eagerness to Learn, Ownership Mindset Benefits: Standard benefits, Startup equity