Machine Learning Engineer, Detection

About Doppel

Doppel is pioneering the future of social engineering defense through its AI-native platform, designed to safeguard executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-driven threats across various digital channels. The company protects some of the globe's leading brands by identifying and dismantling attacker infrastructures while enhancing employee resilience through threat-informed education and simulations. By integrating Digital Risk Protection, Human Risk Management, and Email Security, Doppel creates a real-time intelligence graph that accelerates threat disruption, advances defense strategies, and scales modern security awareness.
Doppel is a rapidly expanding Series C startup backed by prestigious investors such as Andreessen Horowitz and Bessemer Venture Partners. The team merges profound cybersecurity knowledge, operational discipline, and startup agility to tackle key internet trust and security challenges.

Role Overview

As a Machine Learning Engineer at Doppel, you will focus on constructing and scaling the models and systems that power Doppel's detection mechanisms. Key duties involve designing, training, and deploying models capable of both batch and real-time inference to identify malicious or infringing content across diverse data inputs.

Responsibilities

• Design, train, and deploy machine learning models for batch and real-time inference to detect harmful or unauthorized content collected from multiple data streams.
• Collaborate closely with the Detection and Infrastructure teams to guarantee the scalability of ML systems handling massive web data inflows.
• Work on machine learning challenges including natural language processing (NLP), embeddings, similarity search, classification, and anomaly detection.
• Engage with customers and internal teams to translate real-world threat intelligence into actionable, production-grade ML systems.

Candidate Profile

• Experience building and deploying machine learning systems in production settings.
• Proficiency handling large-scale datasets and using distributed data processing frameworks.
• Understanding of the compromises between research-level models and robust production-ready systems.
• A passion for addressing dynamic adversarial challenges in real-world applications.

Additional Information

Doppel offers a mission-driven culture characterized by low ego, high ownership, deep customer focus, and exceptional talent. Perks include free lunches and dinners at the office, flexible paid time off, and quarterly team retreats.

Company Mission

Doppel is unique in the cybersecurity landscape, focusing on eliminating digital deception on a large scale. With daily scans of over 150 billion entities and a combination of continuously adaptive AI SOC agents alongside expert human analysts, Doppel identifies and disrupts infrastructures behind phishing, impersonation, and online fraud before attacks can propagate. The Threat Grid technology transforms each customer signal into shared intelligence, enhancing the speed and effectiveness of each disruption. Backed by leading investors and trusted by renowned global brands, Doppel is advancing the future of social engineering defense.