About the role

Role Overview

Join Doppel as a Machine Learning Engineer to design, train, and deploy models that detect malicious content across diverse data sources. You will partner with internal teams and customers to translate evolving real-world threats into production ML systems.

Key Missions

Design, train, and deploy machine learning models for batch and real-time inference to identify malicious content.
Collaborate with Detection and Infrastructure teams to ensure ML systems scale with the volume of web data.
Work on problems including:
- NLP
- Embeddings
- Similarity search
- Classification
- Anomaly detection

Requirements

Experience building and deploying ML systems in production environments.
Comfort working with large-scale datasets and distributed data processing frameworks.
Understanding of the trade-offs between research-quality models and production-ready systems.
Motivation to solve real-world problems where the adversary evolves continuously.

Nice-to-Haves

Not explicitly stated in the posting.

About Doppel

Doppel is hiring for a Machine Learning Engineer role focused on building production machine learning systems for detecting malicious content. The work involves designing, training, and deploying models across diverse and large-scale web data sources, collaborating with internal detection and infrastructure teams.