Machine Learning Engineer, Detection (SF/NY)
Doppel Open · verified Oct 22, 2026 At a glance
Mid-level Machine Learning Engineering role at Doppel. San Francisco, New York · full-time · $150,000–$400,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build, train, and launch models that spot malicious or infringing content in batch and live workflows
- Work with Detection and Infrastructure teams to keep ML systems effective as incoming web data grows
- Apply NLP, embeddings, similarity search, classification, and anomaly detection to detection problems
- Turn threats raised by customers and internal partners into working machine learning systems
What you bring
- You have built and put machine learning systems into production
- You can work with large datasets and distributed data-processing tools
- You understand how to balance model research quality with the needs of production systems
Who this fits
This role suits a mid-level machine learning engineer focused on production detection systems and changing threats. The position is hybrid in the USA, with the title specifying San Francisco or New York.
From the employer
Why Join Doppel
Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world’s most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management and Email Security, Doppel connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale.
Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, Doppel is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet’s most urgent trust and safety challenges.
What We're Building
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.
What We're Looking For
We’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 will
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
You may be a fit if you:
Have experience building and deploying ML systems in production environments
Are comfortable working with large-scale datasets and distributed data processing frameworks
Understand the trade-offs between research-quality models and production-ready systems
Are excited about solving real-world problems where the adversary is constantly evolving
What 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 offsites
Join Doppel
Doppel 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.