Staff Machine Learning Engineer - Message Security Detection
Abnormal SecurityLoja, Loja, Ecuador
Posted October 30, 2025
Full Time
About the Company
Abnormal Security is an AI-native human behavior security platform that uses machine learning to prevent sophisticated inbound attacks and detect compromised accounts across email and connected applications. The company specializes in email security, business email compromise, phishing detection, and artificial intelligence solutions. Its key differentiator lies in its advanced AI capabilities that enable real-time threat detection and response.
Job Description
Abnormal AI is seeking a Staff Machine Learning Engineer to join their Message Security Detection team, a leading cybersecurity startup. The team is focused on building an extremely high recall Detection Engine to combat evolving attack strategies. This role involves architectural guidance, model design, and driving the technical roadmap for long-term projects.
Requirements
- 8+ years of experience designing and building high-impact, customer-facing machine learning applications.
- Proven experience working on ML at scale with direct product impact in mature ML industries.
- Strong grasp of the theoretical limitations of deep learning models.
- Demonstrated experience in the productionization of large-scale ML models in fast-feedback environments.
- Expertise across the entire ML lifecycle.
- Fluency in Python and ML frameworks like Scikit-learn, PyTorch, or TensorFlow.
- BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field.
Benefits
- Competitive salary
- Opportunity to shape the future of AI architecture
- Collaborative work environment