Machine Learning Engineer, Detection (NY)
Occupations:
Information Security EngineersData ScientistsInformation Security AnalystsComputer Systems Engineers/ArchitectsComputer and Information Research ScientistsIndustries:
Investigation and Security ServicesPipeline Transportation of Crude OilNatural Gas DistributionBusiness Schools and Computer and Management TrainingPipeline Transportation of Natural GasWhy Join DoppelDoppel is built to outsmart one of the great threats AI presents: mass-manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world’s fastest-evolving digital threats.Backed by a16z and Bessemer and trusted by some of the world’s most recognized brands (OpenAI, United Airlines, Coinbase, etc.), Doppel is growing fast. If you’re driven to solve real-world problems with bold technology, we’d love to meet you.What We're BuildingWe're building the AI-native social engineering defense platform.This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.What We're Looking ForWe’re looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems. Check out our blog post on how we set up our ML platform. As an MLE at Doppel, you willDesign, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources.Partner closely with the Detection and Infrastructure teams to ensure our ML systems scale with the volume of web data we ingestWork on problems that range from NLP and embeddings to similarity search, classification, and anomaly detectionCollaborate directly with customers and internal stakeholders to translate real-world threats into production ML systemsYou May Be a Fit If YouHave experience building and deploying ML systems in production environmentsAre comfortable working with large-scale datasets and distributed data processing frameworksUnderstand the trade-offs between research-quality models and production-ready systemsAre excited about solving real-world problems where the adversary is constantly evolvingWhat We Offer🚀 A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density🍽️ Free lunch and dinner in the office🌴 Flexible PTO✈️ Quarterly team offsitesJoin DoppelDoppel is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.We’re not just another cybersecurity company. We’re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world’s most recognized brands, Doppel is growing fast. If you’re driven to solve real-world problems with bold technology, we’d love to meet you.