Machine Learning Engineer
Jobverse.ioAbout the role
Doppel is a company dedicated to combating social engineering threats through advanced AI technology. They are seeking a Machine Learning Engineer to design and deploy models that identify malicious content and collaborate with teams to scale their detection systems.
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
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
Qualifications
- The role requires expertise in NLP, embeddings, similarity search, and anomaly detection to solve complex security problems.
- Candidates must be able to translate real-world threats into production-ready machine learning systems.
Skills mentioned
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