Machine Learning Engineer I
Scowtt
About Scowtt
Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action—immediately. We’re growing fast, and onboarding new customers quickly and cleanly is core to our success.
About the Role
We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ideal for new graduates or early-career engineers who want hands-on experience working on real ML systems in a fast-paced, collaborative startup environment.
What You’ll Do
- 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)
Qualifications:
Must Have
- 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
Should Have
- Exposure to ML frameworks through coursework, projects, or internships
- Curiosity, ownership mindset, and eagerness to learn
Nice to Have
- 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
What Success Looks Like
- You contribute to shipping ML models with guidance
- You learn to debug data and model issues
- You steadily increase independence and ownership
- You build strong foundations in applied ML engineering
Pay range and compensation package
Based on the level hired at, the cash compensation for this role ranges between $100,000 to $150,000. Selected candidate/s will be eligible for standard benefits and startup equity.