Machine Learning Engineer, Detection (NY)

Doppel
New York
Workplace: OnsiteFull timeUSD 140,000 - 300,000 annuallyFunction: Data Science & Machine LearningSkills: ["Collaboration","Problem-solving","Communication"]

Join us as a Machine Learning Engineer focused on detection, building scalable ML models for real-time and batch inference. You’ll collaborate with Detection and Infrastructure teams to handle large-scale web data, tackle NLP embeddings, similarity search, and anomaly detection, and translate real-world threats into production ML systems in a fast-growing cybersecurity context.

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FursaFursa
Doppel
Doppel
7 months ago

Machine Learning Engineer, Detection (NY)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Join us as a Machine Learning Engineer focused on detection, building scalable ML models for real-time and batch inference. You’ll collaborate with Detection and Infrastructure teams to handle large-scale web data, tackle NLP embeddings, similarity search, and anomaly detection, and translate real-world threats into production ML systems in a fast-growing cybersecurity context.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources
  • •Partner with Detection and Infrastructure teams to ensure ML systems scale with the volume of web data
  • •Work on problems spanning NLP, embeddings, similarity search, classification, and anomaly detection
  • •Collaborate with customers and internal stakeholders to translate real-world threats into production ML systems
  • •Contribute to building scalable ML platforms and tools for production use cases

Pay and Benefits

Salary: USD 140,000 - 300,000 annually
Equity and Bonus:Equity
Perks:Meal AllowanceDinnerPaid LeaveOffsite

Key Requirements

  • •Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources
  • •Experience building and deploying ML systems in production environments
  • •Comfort working with large-scale datasets and distributed data processing frameworks
  • •Understand trade-offs between research-quality models and production-ready systems
  • •Excited about solving real-world problems where adversaries are constantly evolving
Experience:Cybersecurity
Skills:CollaborationProblem-solvingCommunication
Tech Stack:NLPEmbeddingsSimilarity searchAnomaly detectionDistributed data processingProduction ML

Company Brief

Doppel
Doppel is an AI-native social engineering defense platform that detects, disrupts, and dismantles impersonation, phishing, and digital risk infrastructure for brands, executives, and employees using AI agents plus human analysis.
Industry: Cybersecurity
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Series C
Headquarters: Covina, United States
Founded: 2022
Glassdoor
Glassdoor: 4.6
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