[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