Machine Learning Engineer designing and deploying detection ML systems for social engineering defense platform at Doppel. Collaborating to mitigate evolving digital threats using AI.
Responsibilities
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
Requirements
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
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