Machine Learning Engineer

Doppel; New York (NY); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Free lunch and dinner

Flexible PTO

Quarterly team offsites

Job summary

Dormont Manufacturing Co is seeking a machine learning engineer to develop and scale models for detecting malicious content. You will design and deploy models for batch and real-time inference, collaborating closely with multiple teams to enhance detection systems.

Ideal candidates will have experience in production ML systems and a passion for solving complex real-world problems. The company fosters a mission-driven culture with exceptional talent density and offers flexible paid time off, free meals, and team offsites.

Qualifications

• Experience building and deploying ML systems in production environments.
• Comfortable working with large-scale datasets.
• Understanding trade-offs between research-quality models and production-ready systems.

Responsibilities

• Design, train, and deploy models for batch and real-time inference.
• Collaborate with the Detection and Infrastructure teams.
• Work on problems related to classification and anomaly detection.
• Translate real-world threats into production ML systems.

Skills

Machine learning

Natural Language Processing (NLP)

Data analysis

Distributed data processing frameworks

Job description

Why Join Doppel

Doppel 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 online threats.

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.

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

About us

Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 million 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.