Machine Learning Engineer 1 (Fully Remote)

Abnormal Security Corp.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Abnormal Security in the United States is seeking an applied ML engineer to own the full ML lifecycle—from data collection and model training to deployment and ongoing monitoring.

You will run experiments, A/B tests, and rigorous error analysis to ensure reliable impact, while collaborating asynchronously across distributed teams to ship scalable, production-ready ML solutions that protect organizations from AI-powered cybercrime.

Qualifications

• BS in CS/ML/AI with 1+ years of applied ML in production.
• Strong async communication across distributed teams.

Responsibilities

• Own the full ML lifecycle from data to deployment and monitoring.
• Run experiments, A/B tests, and error analysis for reliable impact.

Skills

ML in production

Experimentation

A/B testing

Monitoring

Communication

Education

Bachelor's degree in CS/ML/AI

Job description

• MED prevents data loss by blocking misdirected outbound emails at scale.
• This applied MLE role builds end-to-end ML solutions in production.

What You Will Do:

• Own the full ML lifecycle from data to deployment and monitoring.
• Run experiments, A/B tests, and error analysis for reliable impact.

Must Haves:

• BS in CS/ML/AI with 1+ years of applied ML in production.
• Strong async communication across distributed teams.

Abnormal Security

Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 5,000 enterprises trust our behavioral AI platform.