[Remote] Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization. They are looking for a motivated Machine Learning Engineer to develop, train, and deploy high-quality ML models for their Marketing AI and AI Sales Agent. Responsibilities Train and Deploy ML Models Automate data pipelines Collaborate with the team to integrate AI agents Contribute to the development of scalable ML pipelines on GCP and AWS Debug, optimize, and enhance application performance Stay up to date with emerging technologies and best practices in ML development Skills Bachelor's degree in Computer Science or equivalent 1 to 5 years of experience in Machine Learning with a solid foundation in computer science, including data structures and algorithms Experience with ML concepts Living in Pacific time zone with ability to move to Seattle or Bay Area in future for a hybrid role Hands-on experience with GCP ML technologies (e.g., BigQuery, Notebook) A quick learner with a self-driven attitude who enjoys working in a collaborative and inclusive environment Must be located in the United States Benefits Standard benefits Startup equity Company Overview Scowtt is an AI-powered advertising optimization platform that convert leads into customers by leveraging underutilized CRM and web data. It was founded in 2022, and is headquartered in Kirkland, Washington, USA, with a workforce of 11-50 employees. Its website is