Doppel

5 months ago

Machine Learning Engineer, Detection (NY)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 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: 4.6

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Doppel

5 months ago

Machine Learning Engineer, Detection (NY)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

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

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: 4.6

Website LinkedIn Glassdoor