# Machine Learning Engineer, Detection (NY) at Doppel

- Company: Doppel
- What the company does: Outpace AI-driven attacks. Unify Digital Risk Protection, Human Risk Management, and Email Security to stop digital threats before they scale, empower your teams to lead your defense, and scale your SOC with agentic AI. Backed by Bessemer and a16z.
- Company website: https://www.doppel.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco, New York
- Work setup: Remote
- Pay: $150K to $400K base salary per year (USD)
- Posted: 2026-01-26
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/doppel/6dade527-6835-445f-b16b-a1c7f739077f
- Page: https://www.1752.vc/careers/jobs/doppel-machine-learning-engineer-detection-ny/

## About the role

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

## What they'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

Tags: Engineering