Machine Learning Engineer (Detection, TOR)

Doppel; Toronto; On-site; CAD 80,000 - 110,000; Full time

Benefits offered by this job

Free lunch and dinner

Flexible PTO

Quarterly team offsites

Job summary

Doppel, located in Toronto, Ontario, is seeking a Machine Learning Engineer to design, train, and deploy models for detecting malicious content. The role involves collaborating with internal stakeholders and working with large-scale datasets to enhance digital security. You should have experience in production ML systems and an understanding of the trade-offs in model readiness. The company takes pride in its mission-driven culture, offering free meals, flexible PTO, and regular team offsites.

Qualifications

• Experience building and deploying ML systems in production environments.
• Comfortable working with large-scale datasets and distributed processing frameworks.
• Excited about solving evolving real-world problems.

Responsibilities

• Design, train, and deploy models for detecting malicious content.
• Partner with teams to ensure ML systems scale with web data.
• Translate threats into production ML systems.

Skills

Building and deploying ML systems

Working with large-scale datasets

Understanding research-quality models vs production-ready systems

NLP

Anomaly detection

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 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 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. 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.