Machine Learning Engineer II — Email Security & Detection

Menlo Ventures; United States; On-site; USD 168,300 - 198,000; Full time

Job summary

Abnormal AI is seeking a Machine Learning Engineer to join the Attack Detection team. The role involves designing and implementing systems to improve email detection efficacy and ensure robust handling of attacks. Candidates should have at least 3 years of experience in machine learning and be proficient in tools like Python and TensorFlow.

The team plays a vital role in protecting customers against cybersecurity threats while continually adapting models for new attack types. A competitive salary of $168,300 – $198,000 USD is offered.

Qualifications

• 3+ years experience in machine learning applications.
• Fluent with Python and ML toolkits.
• Experience in writing production-level pipelines.

Responsibilities

• Design and implement email detection systems.
• Monitor and improve detection efficacy.
• Analyze datasets to improve machine learning models.

Skills

Machine Learning Applications

Data Analytics

Python

SQL

NLP

Education

BS degree in Computer Science or related field

Tools

Pandas

Spark

TensorFlow

PyTorch

Job description

Abnormal AI is seeking a Machine Learning Engineer to join the Attack Detection team. The role involves designing and implementing systems to improve email detection efficacy and ensure robust handling of attacks. Candidates should have at least 3 years of experience in machine learning and be proficient in tools like Python and TensorFlow.

The team plays a vital role in protecting customers against cybersecurity threats while continually adapting models for new attack types. A competitive salary of $168,300 – $198,000 USD is offered.