Machine Learning Engineer (Detection, TOR)

• We’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
• We’re looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems
• Design, 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 ingest
• Work on problems that range from NLP and embeddings to similarity search, classification, and anomaly detection
• Collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems

Benefits

• Health benefits: We’ve got your health covered, so you can focus on what matters.
• Flexible time off: Take the time you need, when you need it.
• Supporting Life’s Biggest Job: Because family matters most, we offer paid time off for parents to bond, rest, and adjust to life’s biggest change.
• Perks for Office Days: We make getting to the office (and staying nourished) easier.
• Cell stipend: We make staying in touch a little easier.
• Home office setup: We’ll take care of your home office, so you can take care of the work that matters.

Preferred experience

• Have experience building and deploying ML systems in production environments
• Are excited about solving real-world problems where the adversary is constantly evolving
• Are comfortable working with large-scale datasets and distributed data processing frameworks
• Understand the trade-offs between research-quality models and production-ready systems